GMKtec NucBox M7 Pro
Geekbench ML Score
2778
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 10:04 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox M7 Pro |
| Motherboard | GMKtec NucBox M7 Pro |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 PRO 6950H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| 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% |
2198
411.3 IPS |
|
|
Image Classification (F16)
|
100% |
1879
351.6 IPS |
|
|
Image Classification (I8)
|
97% |
3172
593.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
678
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
672
11.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
1926
32.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5431
6.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
5633
6.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
10921
13.2 IPS |
|
|
Object Detection (F32)
|
100% |
1766
131.9 IPS |
|
|
Object Detection (F16)
|
100% |
1795
134.0 IPS |
|
|
Object Detection (I8)
|
60% |
1658
123.8 IPS |
|
|
Face Detection (F32)
|
100% |
2820
33.5 IPS |
|
|
Face Detection (F16)
|
100% |
2738
32.6 IPS |
|
|
Face Detection (I8)
|
87% |
3739
44.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6539
50.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6156
47.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
9888
76.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12811
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12560
16.5 IPS |
|
|
Style Transfer (I8)
|
85% |
13937
18.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2599
92.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2044
73.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2310
82.5 IPS |
|
|
Text Classification (F32)
|
100% |
1690
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1257
1.81 KIPS |
|
|
Text Classification (I8)
|
94% |
352
506.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1622
29.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1610
29.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1646
30.3 IPS |
