Performance

RTX Spark Benchmarks

Compiling all known performance data, specifications, and hands-on impressions of NVIDIA's RTX Spark platform as reported from Computex 2026. Independent third-party benchmarks will be added when review units ship.

Geekbench 6 · CPU

Geekbench 6 Scores

Pre-release engineering sample
Processor Single-Core Multi-Core
NVIDIA N1x (RTX Spark ES) 3,096 18,837
Apple M3 Max (16" MBP, Nov 2023) 3,124 18,920
Apple M5 (14" MBP, 2025) 4,224 +36% 17,465 −7%
Apple M5 Pro (14"/16" MBP, 2026) 4,242 +37% 25,800 +37%
Multi-core beats M5 — N1x (18,837) edges out M5 (17,465) on multi-threaded workloads
Single-core trails M5 — M5 (4,224) leads N1x (3,096) on single-threaded tasks by 36%

⚠ Engineering Sample Caveats

Pre-release silicon · lower clock speeds than final production · Linux environment, not Windows · firmware/drivers unoptimized · final RTX Spark expected to score higher. Compared against Apple's 2023 M3 Max — Apple has since shipped M4 (2024) and M5 (2025).

Sources: Geekbench Browser (N1x result) · Wccftech · Geekbench Browser (M3 Max)


RTX Spark Specifications

Component RTX Spark N1 RTX Spark N1X Notes
CPU 20-core Arm (Grace) 20-core Arm (Grace) Custom NVIDIA-designed Arm cores; perf + efficiency mix
GPU Blackwell RTX Blackwell RTX RTX 5070-class; up to 6,144 CUDA cores
AI Engine Integrated NPU Integrated NPU Dedicated neural processing unit on-die
Memory Up to 64 GB Up to 128 GB LPDDR5X unified memory
Interconnect NVLink-C2C (600 GB/s) High-speed CPU↔GPU fabric
AI Performance Up to 1,000 TFLOPS (FP4) 1 petaflop-class AI throughput
Local LLM Up to 120B params With 1M token context window
Gaming API DirectX 12 Ultimate, Vulkan Full ray tracing, DLSS 4.5, Multi Frame Gen
Process Node TSMC (advanced) Specific node undisclosed

Source: ThePCEnthusiast, Tom's Guide, NVIDIA Computex 2026 keynote. Specifications are preliminary — final may vary by OEM implementation.


Real-World Benchmarks (Preliminary)

Early benchmark data is emerging from Computex 2026 hands-on sessions and pre-release testing. These are preliminary numbers — final review units will provide more comprehensive data. All scores should be treated as directional until independent labs publish verified results.

Developer Workload & CPU Benchmarks

vs. Apple M5
+54%
RTX Spark outperforms Apple M5 in developer workload benchmarks, per Wccftech's analysis of pre-release silicon. The Arm-based Grace CPU cores with unified memory architecture show particular strength in compilation and multi-threaded tasks.

Wccftech — June 2, 2026

vs. Apple M5 Pro
Marginally slower
RTX Spark trails the M5 Pro in the same developer benchmarks but closes the gap significantly compared to previous Windows on Arm attempts. The N1X variant with 128 GB unified memory is expected to compete more directly with M5 Pro and Max.

Wccftech — June 2, 2026

Multi-Core Equivalence
≈ 2× Apple M5
Mezha reports RTX Spark delivers multi-core throughput nearly equivalent to two Apple M5 chips or a single Intel Core Ultra 9 285HX. This positions it in the upper tier of mobile workstation performance.

Mezha — June 2, 2026

GPU Class Equivalent
RTX 5070 Laptop
Digital Foundry confirms RTX Spark's GPU delivers gaming performance equivalent to a discrete RTX 5070 Laptop GPU — the first integrated GPU to match a mid-range discrete card. 6,144 CUDA cores with DLSS 4.5 and full ray tracing.

Digital Foundry — Computex 2026

Gaming Benchmarks (On-Stage Demos)

NVIDIA demonstrated RTX Spark laptops running AAA games on battery power at Computex 2026. These are controlled demos, not independent testing — but they establish a performance floor.

Game Settings Observed Performance Source
Forza Horizon 6 High settings, 1440p Smooth 60+ fps on battery IGN, Wccftech
007 First Light High settings, ray tracing on Playable framerate on battery IGN, Wccftech
Alan Wake 2 Ray Reconstruction enabled Playable with full RT features Wccftech

On-stage demos from Computex 2026. These are NVIDIA-controlled demonstrations shown to press — not independent benchmarks. All games ran on battery power, demonstrating the platform's efficiency. Independent fps testing will be conducted when review units ship in H2 2026.


AI & NPU Performance

RTX Spark's AI capability is its defining differentiator. While competitors ship NPUs in the 10–50 TOPS range, RTX Spark delivers over 1,000 TOPS (FP4) by leveraging its integrated Blackwell GPU for AI inference — two orders of magnitude beyond current-generation AI PC chips.

Chip AI TOPS (NPU only) AI TOPS (GPU+NPU) Max Local LLM
NVIDIA RTX Spark Undisclosed ~1,000 (FP4) 120B params
Intel Core Ultra (Lunar Lake) 48 TOPS ~100 TOPS ~10B params
AMD Ryzen AI (Strix Halo) 50 TOPS ~120 TOPS ~14B params
Qualcomm Snapdragon X Elite 45 TOPS ~45 TOPS ~7B params
Apple M6 38 TOPS (ANE) ~200 TOPS ~32B params

Sources: ThePCEnthusiast, Technology Org. Competitor NPU TOPS from manufacturer spec sheets. GPU+NPU figures for RTX Spark are FP4; competitors are FP16/INT8 — not directly comparable but order-of-magnitude illustrative.


Creative App Benchmarks (Preliminary)

NVIDIA has partnered with Adobe to optimize key creative applications for RTX Spark. While independent benchmarks aren't available yet, early claims and hands-on impressions provide directional performance indicators.

Adobe Premiere Pro
Up to 2× faster
AI-powered effects, rendering, and color grading accelerated by TensorRT on RTX Spark's Blackwell GPU. Windows Central
Adobe Photoshop
GPU-accelerated compositing
Reimagined with GPU-accelerated compositing at its core. Live filters, HDR editing, and GPU-intensive tasks see significant improvements. Windows Central
Substance 3D
RTX-accelerated
Adobe Substance 3D optimized for RTX Spark's unified memory architecture — faster material baking and GPU rendering. Windows Central

Hands-On Impression — Tom's Guide

"My daily driver is the M5 MacBook Pro for its lightning fast performance... but I have to carry a Steam Deck for the gaming side. Enter RTX Spark, and that compromise is gone."

Tom's Guide — Jason England, June 2, 2026. Hands-on testing of RTX Spark laptops for video editing, gaming, and AI workloads at Computex 2026. Conclusion: MacBook Pro dominance is "in trouble."


Gaming Performance

RTX Spark is the first Arm-based Windows chip with a genuinely capable integrated GPU. The 6,144 CUDA cores match the desktop RTX 5070, and DLSS 4.5 with Multi Frame Generation is exclusive to NVIDIA hardware — no competing Arm SoC offers comparable gaming features.

Gaming Features Unique to RTX Spark

DLSS 4.5 with Multi Frame Generation — preferred over FSR 4 in 6/6 games tested per ComputerBase survey
Full ray tracing — hardware RT cores in an integrated GPU for the first time on Arm
DirectX 12 Ultimate — mesh shaders, VRS, sampler feedback
Vulkan 1.4 — NVIDIA actively contributing Arm patches to Linux kernel
DLSS Ray Reconstruction — AI-enhanced ray tracing quality
NVLink-C2C (600 GB/s) — unified memory eliminates CPU↔GPU copy bottleneck

What We Know — Gaming

  • No independent fps benchmarks yet. Review units expected closer to H2 2026 launch. All current data is from NVIDIA's controlled demos and Computex hands-on sessions.
  • + AAA game studios are building native Arm builds. Per Upcomer, several studios confirmed working on Arm-native game ports for RTX Spark launch.
  • + x86 emulation for legacy games. Windows on Arm emulation layer handles existing x86 games, though performance varies. Anti-cheat compatibility remains an open question per XDA Developers.
  • + Handheld potential. PCWorld's Michael Crider argues RTX Spark could be "game-changing" for PC gaming handhelds — matching desktop RTX 5070 in a mobile SoC form factor with DLSS 4.5.

Sources: PCWorld, XDA Developers, Phoronix, Upcomer


Where RTX Spark Stands

RTX Spark enters a market with established competitors across x86 and Arm architectures. Here's how the performance picture shapes up based on announced specifications.

Capability RTX Spark Apple M6 Intel Core Ultra AMD Ryzen AI Snapdragon X
CPU Architecture Arm (Grace) Arm (Apple) x86 x86 Arm (Oryon)
GPU Class RTX 5070-class ~20-core Apple GPU Arc Xe2 RDNA 3.5 Adreno X1
AI TOPS (GPU+NPU) ~1,000 ~200 ~100 ~120 ~45
Max Memory 128 GB (unified) 48 GB (unified) 64 GB (DDR5) 64 GB (DDR5) 32 GB (LPDDR5X)
Gaming Upscaling DLSS 4.5 + MFG MetalFX XeSS FSR 4 FSR (via Adreno)
Ray Tracing Hardware RT Hardware RT Limited RT Limited RT No hardware RT
Local LLM (max) 120B params ~32B params ~10B params ~14B params ~7B params

Analysis: The Three Key Advantages

  1. Integrated RTX 5070-class GPU. No other SoC comes close to RTX Spark's graphics capability. Qualcomm's Adreno and Apple's GPU are 2–4× smaller in core count. Intel and AMD require discrete GPUs for this level of gaming performance — adding cost, power, and thermal complexity.
  2. NVIDIA's software ecosystem. CUDA, TensorRT, DLSS, and Broadcom driver maturity give RTX Spark a software moat that no Arm competitor can replicate in the near term. Adobe, Autodesk, and major ISVs are already optimizing for the platform.
  3. Unified memory architecture. 128 GB of unified LPDDR5X with 600 GB/s bandwidth eliminates the CPU↔GPU memory copy bottleneck. This enables local AI model sizes (120B params) that no other laptop chip can approach, and benefits creative workloads that juggle large assets between CPU and GPU memory.

Analysis synthesized from: Tom's Guide, Tom's Hardware, PCWorld, ThePCEnthusiast, Phoronix.


Open Questions

Several key performance questions won't be answered until review units ship in H2 2026. These will determine whether RTX Spark meets or exceeds the expectations set at Computex.

  • ? Sustained vs. peak GPU performance. How does the RTX 5070-class GPU perform under sustained gaming loads in a thin laptop chassis? Thermal throttling could significantly reduce real-world fps from peak specs.
  • ? x86 emulation overhead. Until native Arm games ship, most titles will run through Windows on Arm's x86 emulation layer. Performance penalty for emulated games could be 20–40% vs. native — negating much of the GPU advantage.
  • ? Battery life under gaming load. Arm efficiency at idle is well-established, but RTX 5070-class GPU power draw under gaming could push total system power beyond what a compact laptop battery can sustain for more than 1–2 hours.
  • ? Pricing tiers. NVIDIA's DGX Spark mini PC launched at $4,699. If RTX Spark laptops with 64–128 GB RAM carry premium pricing, they may compete with high-end workstations rather than mainstream laptops — limiting the addressable market.
  • ? Anti-cheat compatibility. Many popular competitive games (Valorant, Fortnite, Call of Duty) use kernel-level anti-cheat that doesn't work under x86 emulation on Arm. This could lock RTX Spark out of a major gaming segment.

Last updated: June 2, 2026. This page will be updated as independent benchmarks, reviews, and performance data become available. All specifications are preliminary and sourced from Computex 2026 coverage. Check the News page for the latest coverage.