Gigabyte Technology Co., Ltd. X570S AORUS PRO AX
Geekbench ML Score
3527
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS PRO AX |
| Power Plan | Bitsum Highest Performance |
| 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% |
1524
285.2 IPS |
|
|
Image Classification (F16)
|
100% |
1479
276.8 IPS |
|
|
Image Classification (I8)
|
97% |
2928
547.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1885
31.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1978
33.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
2324
38.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8634
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
8563
10.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
16388
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1796
134.0 IPS |
|
|
Object Detection (F16)
|
100% |
1800
134.4 IPS |
|
|
Object Detection (I8)
|
60% |
1684
125.7 IPS |
|
|
Face Detection (F32)
|
100% |
3210
38.2 IPS |
|
|
Face Detection (F16)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (I8)
|
87% |
4210
50.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7907
61.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7819
60.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
12846
99.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18929
24.9 IPS |
|
|
Style Transfer (F16)
|
100% |
18402
24.2 IPS |
|
|
Style Transfer (I8)
|
85% |
19123
25.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3005
107.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2606
93.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3665
130.9 IPS |
|
|
Text Classification (F32)
|
100% |
1397
2.01 KIPS |
|
|
Text Classification (F16)
|
100% |
1398
2.01 KIPS |
|
|
Text Classification (I8)
|
94% |
356
512.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2360
43.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2384
43.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2710
49.9 IPS |
