ASUS System Product Name
Geekbench ML Score
4009
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 27 2024 10:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X3D 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 96.0 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% |
2086
390.3 IPS |
|
|
Image Classification (F16)
|
100% |
2074
388.1 IPS |
|
|
Image Classification (I8)
|
99% |
4438
830.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2021
33.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2064
34.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2296
38.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5821
7.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
5808
7.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
15962
19.3 IPS |
|
|
Object Detection (F32)
|
100% |
2134
159.3 IPS |
|
|
Object Detection (F16)
|
100% |
2100
156.8 IPS |
|
|
Object Detection (I8)
|
62% |
2203
164.4 IPS |
|
|
Face Detection (F32)
|
100% |
5404
64.3 IPS |
|
|
Face Detection (F16)
|
100% |
5405
64.3 IPS |
|
|
Face Detection (I8)
|
89% |
6541
77.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7135
55.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7258
56.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
17588
136.4 IPS |
|
|
Style Transfer (F32)
|
100% |
14774
19.4 IPS |
|
|
Style Transfer (F16)
|
100% |
14783
19.4 IPS |
|
|
Style Transfer (I8)
|
98% |
25535
33.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2633
94.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3022
107.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4501
160.7 IPS |
|
|
Text Classification (F32)
|
100% |
1796
2.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1776
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
417
600.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2722
50.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2733
50.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3667
67.5 IPS |
