GMKtec NucBox M7 Pro
Geekbench AI Score
2309
Single Precision Score
1188
Half Precision Score
2771
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | snoWald |
| Upload Date | November 23 2024 09:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 PRO 6950H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox M7 Pro |
| Motherboard | GMKtec NucBox M7 Pro |
| Power Plan | High performance |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
281.8 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (Q)
|
96% |
2757
514.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
1796
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4244
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3615
4.22 IPS |
|
|
Pose Estimation (Q)
|
87% |
9696
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.2 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
86% |
1558
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (Q)
|
96% |
3366
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4968
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1867
14.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5176
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10462
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9032
11.6 IPS |
|
|
Style Transfer (Q)
|
87% |
14750
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1834
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2456
91.0 IPS |
|
|
Text Classification (SP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
642
856.5 IPS |
|
|
Text Classification (Q)
|
97% |
379
507.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.57 IPS |
|
|
Machine Translation (Q)
|
60% |
1494
33.3 IPS |
