GMKtec NucBoxG5
Geekbench ML Score
723
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 04:29 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBoxG5 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | Intel N97 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
386
72.2 IPS |
|
|
Image Classification (F16)
|
100% |
353
66.1 IPS |
|
|
Image Classification (I8)
|
99% |
582
108.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
349
5.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
373
6.22 IPS |
|
|
Image Segmentation (I8)
|
98% |
601
10.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
828
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
787
0.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
2113
2.56 IPS |
|
|
Object Detection (F32)
|
100% |
363
27.1 IPS |
|
|
Object Detection (F16)
|
100% |
366
27.3 IPS |
|
|
Object Detection (I8)
|
62% |
462
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
842
10.0 IPS |
|
|
Face Detection (F16)
|
100% |
810
9.63 IPS |
|
|
Face Detection (I8)
|
89% |
1304
15.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1168
9.06 IPS |
|
|
Depth Estimation (F16)
|
100% |
1078
8.36 IPS |
|
|
Depth Estimation (I8)
|
96% |
2402
18.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2012
2.65 IPS |
|
|
Style Transfer (F16)
|
100% |
2028
2.67 IPS |
|
|
Style Transfer (I8)
|
98% |
3790
4.99 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
489
17.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
541
19.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1023
36.5 IPS |
|
|
Text Classification (F32)
|
100% |
393
564.3 IPS |
|
|
Text Classification (F16)
|
100% |
435
624.8 IPS |
|
|
Text Classification (I8)
|
98% |
182
262.2 IPS |
|
|
Machine Translation (F32)
|
100% |
632
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
634
11.7 IPS |
|
|
Machine Translation (I8)
|
67% |
815
15.0 IPS |
