HWBench

Minisforum MS-R1 (as tested by Jeff Geerling) vs NVIDIA DGX Spark

NVIDIA DGX Spark desktop AI computer, gold metal-foam chassis, oblique view on a wooden table
NVIDIA DGX Spark. Photo: Daniel Lu (User:dllu), CC BY-SA 4.0, via Wikimedia Commons.

NVIDIA DGX Spark is faster in the only like-for-like comparison (largest gap: LLM generation, 1.75×).

Minisforum MS-R1 (as tested by Jeff Geerling)NVIDIA DGX Spark
Best LLM generation71.36 tok/s C
2025-11-10 (page last edited)
191 tok/s C
2026-07-21 (page last edited)
Powern/a140 W Chip TDP, Accelerator only, host not included
Perf / Wn/a1.37 tok/s/W Chip TDP, Accelerator only, host not included
Pricen/a$6950 list
Workloads with data1 of 72 of 7

Best published LLM generation result per platform (may be from different like-for-like groups — see data). n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

Only NVIDIA DGX Spark has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA DGX Spark990 FPS
inference_time · b=1
YOLO11n
FP16 · Ultralytics TensorRT · nano (YOLO-n)
B140 W Chip TDP, Accelerator only, host not included
reported in result source — Chip TDP, Accelerator only, host not included
Ultralytics documentation (benchmark table)
2026-09-27 (page last edited)

Minisforum MS-R1 (as tested by Jeff Geerling):

◌

No published object detection results for Minisforum MS-R1 (as tested by Jeff Geerling) or NVIDIA DGX Spark yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

◌

No published instance segmentation results for Minisforum MS-R1 (as tested by Jeff Geerling) or NVIDIA DGX Spark yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

◌

No published pose estimation results for Minisforum MS-R1 (as tested by Jeff Geerling) or NVIDIA DGX Spark yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

◌

No published image classification results for Minisforum MS-R1 (as tested by Jeff Geerling) or NVIDIA DGX Spark yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

◌

No published semantic segmentation results for Minisforum MS-R1 (as tested by Jeff Geerling) or NVIDIA DGX Spark yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

speech-to-text

◌

No published speech-to-text results for Minisforum MS-R1 (as tested by Jeff Geerling) or NVIDIA DGX Spark yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

✓ Like-for-like: model-size class LLM 5–14B, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA DGX Spark60.39 tok/s
tg128 · b=1
Llama 2 7B
Q4_0 · llama.cpp Vulkan (FA on, commit 657e011) · LLM 5–14B
Cunknown power not published
not published
llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API)
2026-10-10 (page last edited)
Minisforum MS-R1 (as tested by Jeff Geerling)34.52 tok/s
generation_throughput · b=1
llama3.1:8b
Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM 5–14B
Cunknown power not published
not published
Jeff Geerling ai-benchmarks issue results (comments)
2025-11-10 (page last edited)

Grades: A audited MLPerf · B third-party · C community · D vendor. How we rank · JSON