Gigabyte Technology Co., Ltd. X570 AORUS MASTER
Geekbench ML Score
3631
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 22 2024 03:18 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1632
305.5 IPS |
|
|
Image Classification (F16)
|
100% |
1644
307.7 IPS |
|
|
Image Classification (I8)
|
97% |
3464
648.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1942
32.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1981
33.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
2339
39.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9322
11.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
9321
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
17644
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1843
137.6 IPS |
|
|
Object Detection (F16)
|
100% |
1804
134.6 IPS |
|
|
Object Detection (I8)
|
60% |
1723
128.6 IPS |
|
|
Face Detection (F32)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (F16)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (I8)
|
87% |
4229
50.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8129
63.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8112
62.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
13231
102.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18308
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
18562
24.4 IPS |
|
|
Style Transfer (I8)
|
85% |
20133
26.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2993
106.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3080
110.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3276
117.0 IPS |
|
|
Text Classification (F32)
|
100% |
1405
2.02 KIPS |
|
|
Text Classification (F16)
|
100% |
1394
2.00 KIPS |
|
|
Text Classification (I8)
|
94% |
362
520.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2377
43.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2388
43.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2750
50.6 IPS |
