ASUS System Product Name
Geekbench ML Score
4335
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 19 2024 09:34 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-E GAMING |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 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 | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2222
415.9 IPS |
|
|
Image Classification (F16)
|
100% |
2346
439.1 IPS |
|
|
Image Classification (I8)
|
97% |
3953
739.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2135
35.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2222
37.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
2685
44.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
7030
8.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
7026
8.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
13115
15.9 IPS |
|
|
Object Detection (F32)
|
100% |
2319
173.1 IPS |
|
|
Object Detection (F16)
|
100% |
2353
175.7 IPS |
|
|
Object Detection (I8)
|
60% |
2127
158.8 IPS |
|
|
Face Detection (F32)
|
100% |
6252
74.3 IPS |
|
|
Face Detection (F16)
|
100% |
6251
74.3 IPS |
|
|
Face Detection (I8)
|
87% |
5827
69.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8659
67.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8576
66.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
13675
106.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16850
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
16731
22.0 IPS |
|
|
Style Transfer (I8)
|
85% |
16671
21.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3460
123.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3416
122.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3934
140.5 IPS |
|
|
Text Classification (F32)
|
100% |
1946
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
1932
2.78 KIPS |
|
|
Text Classification (I8)
|
94% |
1263
1.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
2910
53.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2921
53.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3204
59.0 IPS |
