ASUS System Product Name
Geekbench ML Score
4374
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 07 2024 09:05 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-R |
| Power Plan | Yksek performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 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 | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2401
449.2 IPS |
|
|
Image Classification (F16)
|
100% |
2383
446.0 IPS |
|
|
Image Classification (I8)
|
99% |
5273
986.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1961
32.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1855
31.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3331
55.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6275
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
5919
7.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
21429
25.9 IPS |
|
|
Object Detection (F32)
|
100% |
2244
167.5 IPS |
|
|
Object Detection (F16)
|
100% |
2216
165.4 IPS |
|
|
Object Detection (I8)
|
62% |
2459
183.6 IPS |
|
|
Face Detection (F32)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (F16)
|
100% |
3797
45.1 IPS |
|
|
Face Detection (I8)
|
89% |
5349
63.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7427
57.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7433
57.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
16405
127.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15551
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
14939
19.7 IPS |
|
|
Style Transfer (I8)
|
98% |
25413
33.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3379
120.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3454
123.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4791
171.1 IPS |
|
|
Text Classification (F32)
|
100% |
2110
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2109
3.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1554
2.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
2799
51.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2672
49.2 IPS |
|
|
Machine Translation (I8)
|
67% |
4183
77.0 IPS |
