ASUS System Product Name
Geekbench ML Score
3693
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:58 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| 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% |
1981
370.7 IPS |
|
|
Image Classification (F16)
|
100% |
2017
377.5 IPS |
|
|
Image Classification (I8)
|
99% |
3474
650.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1578
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1622
27.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2689
44.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6567
7.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
6655
8.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
23124
28.0 IPS |
|
|
Object Detection (F32)
|
100% |
1997
149.1 IPS |
|
|
Object Detection (F16)
|
100% |
1954
145.9 IPS |
|
|
Object Detection (I8)
|
62% |
1815
135.5 IPS |
|
|
Face Detection (F32)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (F16)
|
100% |
3689
43.9 IPS |
|
|
Face Detection (I8)
|
89% |
4108
48.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7557
58.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7865
61.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
13656
105.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15983
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
15982
21.0 IPS |
|
|
Style Transfer (I8)
|
98% |
21471
28.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3277
117.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3381
120.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5016
179.2 IPS |
|
|
Text Classification (F32)
|
100% |
1630
2.34 KIPS |
|
|
Text Classification (F16)
|
100% |
1670
2.40 KIPS |
|
|
Text Classification (I8)
|
98% |
466
669.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1875
34.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1846
34.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2583
47.5 IPS |
