ASUS System Product Name
Geekbench ML Score
3863
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 09 2024 09:17 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 STRIX B650E-E GAMING WIFI |
| Power Plan | Ausbalanciert |
| 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% |
2191
410.0 IPS |
|
|
Image Classification (F16)
|
100% |
2177
407.3 IPS |
|
|
Image Classification (I8)
|
99% |
4780
894.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2042
34.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1665
27.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2069
34.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5808
7.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
5805
7.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
19805
24.0 IPS |
|
|
Object Detection (F32)
|
100% |
2210
165.0 IPS |
|
|
Object Detection (F16)
|
100% |
2220
165.8 IPS |
|
|
Object Detection (I8)
|
62% |
2289
170.9 IPS |
|
|
Face Detection (F32)
|
100% |
5407
64.3 IPS |
|
|
Face Detection (F16)
|
100% |
5557
66.1 IPS |
|
|
Face Detection (I8)
|
89% |
6341
75.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7114
55.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7127
55.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
14054
109.0 IPS |
|
|
Style Transfer (F32)
|
100% |
14356
18.9 IPS |
|
|
Style Transfer (F16)
|
100% |
14880
19.6 IPS |
|
|
Style Transfer (I8)
|
98% |
26412
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2805
100.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1768
63.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4466
159.5 IPS |
|
|
Text Classification (F32)
|
100% |
1320
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1830
2.63 KIPS |
|
|
Text Classification (I8)
|
98% |
359
516.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2274
41.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2770
51.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3654
67.2 IPS |
