ASUS System Product Name
Geekbench ML Score
7638
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 10:47 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 CROSSHAIR X870E HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB 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% |
4366
816.9 IPS |
|
|
Image Classification (F16)
|
100% |
4310
806.6 IPS |
|
|
Image Classification (I8)
|
99% |
8978
1.68 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2659
44.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2769
46.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
4149
69.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16445
19.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
16470
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
51891
62.8 IPS |
|
|
Object Detection (F32)
|
100% |
4103
306.3 IPS |
|
|
Object Detection (F16)
|
100% |
4103
306.3 IPS |
|
|
Object Detection (I8)
|
62% |
3997
298.4 IPS |
|
|
Face Detection (F32)
|
100% |
5444
64.7 IPS |
|
|
Face Detection (F16)
|
100% |
5451
64.8 IPS |
|
|
Face Detection (I8)
|
89% |
7200
85.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16197
125.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
15969
123.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
29188
226.4 IPS |
|
|
Style Transfer (F32)
|
100% |
36757
48.4 IPS |
|
|
Style Transfer (F16)
|
100% |
37078
48.8 IPS |
|
|
Style Transfer (I8)
|
98% |
35902
47.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6771
241.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6887
245.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8071
288.3 IPS |
|
|
Text Classification (F32)
|
100% |
3475
4.99 KIPS |
|
|
Text Classification (F16)
|
100% |
2753
3.96 KIPS |
|
|
Text Classification (I8)
|
98% |
2033
2.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
4390
80.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4353
80.1 IPS |
|
|
Machine Translation (I8)
|
67% |
5733
105.5 IPS |
