Artificial Analysis (@ArtificialAnlys) · 10/16/2026, 04:33:18
NVIDIA RTX Spark N1X Laptop Benchmark: Runs Qwen3.8 27B with 128GB Unified Memory in 18.7 Minutes
NVIDIA's RTX Spark N1X laptop integrates the DGX Spark's GB10 chip (Blackwell GPU + Arm CPU) with up to 128 GB of unified memory. Initial AA-AgentPerf-Local benchmarks show it completes a complex agent workload on Qwen3.8 27B in 18.7 minutes, nearly matching the desktop DGX Spark and outperforming the MacBook Pro M5 Pro and AMD Ryzen AI Halo, while successfully loading models with 77 GB weights.
SOURCE COVERAGEFull Original Report
Artificial Analysis (@ArtificialAnlys) · 2026-10-15 20
NVIDIA's RTX Spark N1X puts up to 128 GB of unified memory and a Blackwell GPU in a Windows laptop. In our first AA-AgentPerf-Local results, an RTX Spark laptop completes our local agent workload on Qwen3.8 27B in 18.7 minutes
RTX Spark's N1X chip is essentially the GB10 from DGX Spark (20-core Arm CPU, 6,144-core Blackwell GPU), with up to 128 GB of memory at 300 GB/s. We tested a prototype 15-inch Surface Laptop Ultra (128 GB, $5,900), plugged in with Windows set to high-performance mode, using NVIDIA's published llama.cpp recipes where available
Key results:
➤ On Qwen3.8 27B the RTX Spark laptop finishes our default workload (8 recorded agent tasks, 168 model turns) in 18.7 minutes, close to DGX Spark (17.3), 2.0x faster than the MacBook Pro (M5 Pro, 64 GB, 37.6) and 1.8x faster than the AMD Ryzen AI Halo (34.5). The GeForce RTX 5090 desktop is fastest, at 4.9 minutes
➤ On Qwen3.6 35B A3B it takes 7.6 minutes, close to DGX Spark (7.3), and 1.6x faster than the MacBook Pro (11.9)
➤ On Ling 3.0 Flash, the largest current model we test, it takes 15.3 minutes, close to DGX Spark (14.9) and 1.6x faster than the Ryzen AI Halo (25.1). Its 77 GB of weights do not fit on the MacBook Pro or the RTX 5090
Read the full analysis:
