Gigabyte Technology Co., Ltd. B560M AORUS PRO AX
Geekbench ML Score
1070
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 12:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B560M AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B560M AORUS PRO AX |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 750 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
506
94.7 IPS |
|
|
Image Classification (F16)
|
100% |
504
94.4 IPS |
|
|
Image Classification (I8)
|
100% |
421
78.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
779
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
779
13.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
595
9.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
3217
3.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
3182
3.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
2341
2.83 IPS |
|
|
Object Detection (F32)
|
100% |
540
40.3 IPS |
|
|
Object Detection (F16)
|
100% |
539
40.3 IPS |
|
|
Object Detection (I8)
|
54% |
459
34.3 IPS |
|
|
Face Detection (F32)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (I8)
|
89% |
817
9.71 IPS |
|
|
Depth Estimation (F32)
|
100% |
2304
17.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2208
17.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1815
14.1 IPS |
|
|
Style Transfer (F32)
|
100% |
8646
11.4 IPS |
|
|
Style Transfer (F16)
|
100% |
8386
11.0 IPS |
|
|
Style Transfer (I8)
|
98% |
6345
8.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1437
51.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1404
50.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
759
27.1 IPS |
|
|
Text Classification (F32)
|
100% |
600
862.9 IPS |
|
|
Text Classification (F16)
|
100% |
626
899.5 IPS |
|
|
Text Classification (I8)
|
98% |
258
371.0 IPS |
|
|
Machine Translation (F32)
|
100% |
556
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
531
9.77 IPS |
|
|
Machine Translation (I8)
|
70% |
315
5.80 IPS |
