ASUS System Product Name
Geekbench ML Score
7130
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 18 2024 10:50 AM |
| 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% |
4012
750.8 IPS |
|
|
Image Classification (F16)
|
100% |
4030
754.2 IPS |
|
|
Image Classification (I8)
|
99% |
8070
1.51 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2139
35.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2186
36.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
4141
69.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
14230
17.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
14238
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
44475
53.9 IPS |
|
|
Object Detection (F32)
|
100% |
3843
286.9 IPS |
|
|
Object Detection (F16)
|
100% |
3857
287.9 IPS |
|
|
Object Detection (I8)
|
62% |
3893
290.7 IPS |
|
|
Face Detection (F32)
|
100% |
5271
62.7 IPS |
|
|
Face Detection (F16)
|
100% |
5326
63.3 IPS |
|
|
Face Detection (I8)
|
89% |
7240
86.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
14352
111.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
14740
114.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
28356
219.9 IPS |
|
|
Style Transfer (F32)
|
100% |
32486
42.7 IPS |
|
|
Style Transfer (F16)
|
100% |
31900
42.0 IPS |
|
|
Style Transfer (I8)
|
98% |
36359
47.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5126
183.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6529
233.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7610
271.8 IPS |
|
|
Text Classification (F32)
|
100% |
3401
4.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3406
4.89 KIPS |
|
|
Text Classification (I8)
|
98% |
2033
2.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
4470
82.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4564
84.0 IPS |
|
|
Machine Translation (I8)
|
67% |
5309
97.7 IPS |
