GMKtec NucBox M6 Ultra
Geekbench ML Score
3470
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 08:41 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox M6 Ultra |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1813
339.3 IPS |
|
|
Image Classification (F16)
|
100% |
1805
337.7 IPS |
|
|
Image Classification (I8)
|
99% |
4363
816.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
927
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
884
14.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2988
49.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5332
6.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
5281
6.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
19228
23.3 IPS |
|
|
Object Detection (F32)
|
100% |
1858
138.7 IPS |
|
|
Object Detection (F16)
|
100% |
1831
136.7 IPS |
|
|
Object Detection (I8)
|
62% |
1896
141.5 IPS |
|
|
Face Detection (F32)
|
100% |
3176
37.8 IPS |
|
|
Face Detection (F16)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (I8)
|
89% |
4956
58.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6407
49.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6265
48.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
14356
111.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12749
16.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12738
16.8 IPS |
|
|
Style Transfer (I8)
|
98% |
22306
29.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2435
87.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2422
86.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3690
131.8 IPS |
|
|
Text Classification (F32)
|
100% |
1748
2.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1731
2.49 KIPS |
|
|
Text Classification (I8)
|
98% |
1429
2.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
2132
39.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2124
39.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3056
56.2 IPS |
