GMKtec NucBoxG5
Geekbench ML Score
869
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 04:26 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 | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
425
79.5 IPS |
|
|
Image Classification (F16)
|
100% |
419
78.4 IPS |
|
|
Image Classification (I8)
|
100% |
351
65.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
616
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
626
10.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
491
8.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
2394
2.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
2386
2.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
1824
2.21 IPS |
|
|
Object Detection (F32)
|
100% |
465
34.7 IPS |
|
|
Object Detection (F16)
|
100% |
473
35.3 IPS |
|
|
Object Detection (I8)
|
54% |
395
29.5 IPS |
|
|
Face Detection (F32)
|
100% |
938
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
939
11.2 IPS |
|
|
Face Detection (I8)
|
89% |
681
8.10 IPS |
|
|
Depth Estimation (F32)
|
100% |
1867
14.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1861
14.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
1470
11.4 IPS |
|
|
Style Transfer (F32)
|
100% |
6146
8.08 IPS |
|
|
Style Transfer (F16)
|
100% |
6141
8.08 IPS |
|
|
Style Transfer (I8)
|
98% |
4775
6.28 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1031
36.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1028
36.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
618
22.1 IPS |
|
|
Text Classification (F32)
|
100% |
473
679.7 IPS |
|
|
Text Classification (F16)
|
100% |
457
657.3 IPS |
|
|
Text Classification (I8)
|
98% |
255
366.5 IPS |
|
|
Machine Translation (F32)
|
100% |
492
9.06 IPS |
|
|
Machine Translation (F16)
|
100% |
495
9.11 IPS |
|
|
Machine Translation (I8)
|
70% |
294
5.42 IPS |
