ASUS System Product Name
Geekbench ML Score
3502
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 06:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z690-PLUS WIFI D4 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
1865
348.9 IPS |
|
|
Image Classification (F16)
|
100% |
1880
351.8 IPS |
|
|
Image Classification (I8)
|
99% |
3503
655.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1645
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1703
28.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2633
44.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6604
8.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
6387
7.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
21031
25.5 IPS |
|
|
Object Detection (F32)
|
100% |
1849
138.0 IPS |
|
|
Object Detection (F16)
|
100% |
1824
136.2 IPS |
|
|
Object Detection (I8)
|
62% |
1790
133.7 IPS |
|
|
Face Detection (F32)
|
100% |
2899
34.5 IPS |
|
|
Face Detection (F16)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (I8)
|
89% |
3651
43.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7381
57.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6842
53.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
13128
101.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15291
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
15025
19.8 IPS |
|
|
Style Transfer (I8)
|
98% |
18603
24.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3346
119.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3359
120.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4853
173.3 IPS |
|
|
Text Classification (F32)
|
100% |
1611
2.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1567
2.25 KIPS |
|
|
Text Classification (I8)
|
98% |
470
675.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1751
32.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1767
32.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2475
45.6 IPS |
