ASUS System Product Name
Geekbench ML Score
4036
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 19 2024 02:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1740
325.6 IPS |
|
|
Image Classification (F16)
|
100% |
1738
325.2 IPS |
|
|
Image Classification (I8)
|
97% |
3735
699.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2203
36.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2204
36.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
2584
43.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10242
12.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
10268
12.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
19466
23.6 IPS |
|
|
Object Detection (F32)
|
100% |
1899
141.8 IPS |
|
|
Object Detection (F16)
|
100% |
1919
143.3 IPS |
|
|
Object Detection (I8)
|
60% |
1853
138.4 IPS |
|
|
Face Detection (F32)
|
100% |
3828
45.5 IPS |
|
|
Face Detection (F16)
|
100% |
3832
45.6 IPS |
|
|
Face Detection (I8)
|
87% |
4903
58.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8931
69.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8957
69.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
14350
111.3 IPS |
|
|
Style Transfer (F32)
|
100% |
21508
28.3 IPS |
|
|
Style Transfer (F16)
|
100% |
21426
28.2 IPS |
|
|
Style Transfer (I8)
|
85% |
23370
30.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3339
119.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3364
120.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
4231
151.1 IPS |
|
|
Text Classification (F32)
|
100% |
1520
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1522
2.19 KIPS |
|
|
Text Classification (I8)
|
94% |
385
553.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2583
47.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2600
47.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3067
56.4 IPS |
