ASUS System Product Name
Geekbench ML Score
2896
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 27 2024 03:00 AM |
| 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% |
1568
293.4 IPS |
|
|
Image Classification (F16)
|
100% |
1510
282.6 IPS |
|
|
Image Classification (I8)
|
97% |
3287
615.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1349
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1381
23.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
2166
36.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4478
5.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
4440
5.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
10416
12.6 IPS |
|
|
Object Detection (F32)
|
100% |
1431
106.8 IPS |
|
|
Object Detection (F16)
|
100% |
1422
106.1 IPS |
|
|
Object Detection (I8)
|
60% |
1418
105.8 IPS |
|
|
Face Detection (F32)
|
100% |
2614
31.1 IPS |
|
|
Face Detection (F16)
|
100% |
2491
29.6 IPS |
|
|
Face Detection (I8)
|
87% |
3769
44.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4807
37.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6031
46.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
9520
73.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12333
16.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12110
15.9 IPS |
|
|
Style Transfer (I8)
|
85% |
13696
18.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2349
83.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2319
82.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2821
100.8 IPS |
|
|
Text Classification (F32)
|
100% |
1652
2.37 KIPS |
|
|
Text Classification (F16)
|
100% |
1285
1.85 KIPS |
|
|
Text Classification (I8)
|
94% |
904
1.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1945
35.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1920
35.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2514
46.3 IPS |
