ASUS System Product Name
Geekbench ML Score
2860
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 06:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING (WI-FI) |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1689
316.1 IPS |
|
|
Image Classification (F16)
|
100% |
1625
304.1 IPS |
|
|
Image Classification (I8)
|
97% |
3251
608.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1552
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1507
25.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
1715
28.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4689
5.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
4479
5.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
10776
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1393
104.0 IPS |
|
|
Object Detection (F16)
|
100% |
1531
114.3 IPS |
|
|
Object Detection (I8)
|
60% |
1722
128.5 IPS |
|
|
Face Detection (F32)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (F16)
|
100% |
2603
31.0 IPS |
|
|
Face Detection (I8)
|
87% |
3749
44.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5187
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5260
40.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
10292
79.8 IPS |
|
|
Style Transfer (F32)
|
100% |
11693
15.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11513
15.1 IPS |
|
|
Style Transfer (I8)
|
85% |
14332
18.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2293
81.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2216
79.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2891
103.2 IPS |
|
|
Text Classification (F32)
|
100% |
1763
2.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1624
2.33 KIPS |
|
|
Text Classification (I8)
|
94% |
313
450.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2027
37.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2005
36.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2245
41.3 IPS |
