ASUS System Product Name
Geekbench ML Score
6551
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 03 2024 12:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Dengeli |
| 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% |
3929
735.2 IPS |
|
|
Image Classification (F16)
|
100% |
3918
733.2 IPS |
|
|
Image Classification (I8)
|
99% |
7674
1.44 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1680
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1732
28.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3133
52.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
13996
16.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
13995
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
44878
54.3 IPS |
|
|
Object Detection (F32)
|
100% |
3708
276.9 IPS |
|
|
Object Detection (F16)
|
100% |
3571
266.6 IPS |
|
|
Object Detection (I8)
|
62% |
3815
284.8 IPS |
|
|
Face Detection (F32)
|
100% |
5232
62.2 IPS |
|
|
Face Detection (F16)
|
100% |
5124
60.9 IPS |
|
|
Face Detection (I8)
|
89% |
7016
83.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
14621
113.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
14791
114.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
27713
214.9 IPS |
|
|
Style Transfer (F32)
|
100% |
32245
42.4 IPS |
|
|
Style Transfer (F16)
|
100% |
32267
42.4 IPS |
|
|
Style Transfer (I8)
|
98% |
37510
49.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6555
234.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6642
237.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7829
279.6 IPS |
|
|
Text Classification (F32)
|
100% |
3243
4.66 KIPS |
|
|
Text Classification (F16)
|
100% |
3204
4.60 KIPS |
|
|
Text Classification (I8)
|
98% |
574
825.0 IPS |
|
|
Machine Translation (F32)
|
100% |
4034
74.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3892
71.6 IPS |
|
|
Machine Translation (I8)
|
67% |
4607
84.8 IPS |
