英伟达RTX Spark上手:AI、创作与游戏性能集于一颗SoC
TechRadar评测者用了一周多时间测试英伟达基于ARM架构的RTX Spark,称这是英伟达首款系统级芯片(SoC):基础版本为18核CPU配5120个CUDA核心的Blackwell RTX GPU,更高一档则是20核CPU配6144核GPU。在评测者自己运行的Geekbench 7.1中,RTX Spark N1X单核得分2,623低于苹果M5的4,288,多核得分21,899则超过M5的17,926。本地智能体测试用Qwen 3 8B运行MLPerf Client的数据分析师与软件工程工作流,平均耗时分别为63.7秒和50.8秒、处理最多14,005和10,238个token;评测者还提到该芯片支持混合工作流,可把部分模型保留在本地,并将高负载任务交给云端前沿模型。
评测者认为,这种混合方式让用户可以自行划定哪些本地模型处理敏感环节、哪些任务外包给云端前沿模型,而不必在完全本地与完全云端之间二选一。
Having been at Nvidia's RTX Spark event in San Francisco earlier this month, I was lucky enough to get a firsthand walk through of the many things the 'superchip' can do. Since then I've spent almost every waking moment putting the ARM-based RTX Spark through its paces and seeing what makes it so different from other chipsets that have come before.
The RTX Spark is Nvidia’s first System on a Chip (SoC). Combining an 18-core CPU and 5120 Cuda core Blackwell RTX GPU all in one, or a 20-core CPU and 6144-core GPU for its meatier version, it offers an integrated chipset in the vein of Apple’s M series chips. While Apple’s silicon is known for its oomph, that Blackwell RTX GPU means you’ll also get considerable gaming performance here to boot.
How does this translate in terms of raw numbers? It’s certainly got a lot going on under the hood, as the RTX Spark N1X chip I’ve been playing around with squeezes 20 cores into its CPU. While the 2,623 single-core performance I clocked on Geekbench 7.1 falls somewhat short of the 4,288 we got for Apple’s M5 chip, its 21,899 multi-core score massively outstripped the latter’s 17,926. That means that for tasks like content creation, software development and AI, you should be able to expect more oomph in your corner.
#Nvidia#RTX Spark#Apple#Qwen#Asus#Adobe#Blender#Unity#MLPerf