ASUS System Product Name
Geekbench ML Score
3702
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:55 AM |
| Views | 1 |
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% |
1991
372.5 IPS |
|
|
Image Classification (I8)
|
99% |
3572
668.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1573
26.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1634
27.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2738
45.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6681
8.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
6802
8.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
23420
28.4 IPS |
|
|
Object Detection (F32)
|
100% |
2029
151.4 IPS |
|
|
Object Detection (F16)
|
100% |
1963
146.5 IPS |
|
|
Object Detection (I8)
|
62% |
1813
135.3 IPS |
|
|
Face Detection (F32)
|
100% |
3667
43.6 IPS |
|
|
Face Detection (F16)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (I8)
|
89% |
4150
49.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7693
59.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7549
58.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
13696
106.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16192
21.3 IPS |
|
|
Style Transfer (F16)
|
100% |
16020
21.1 IPS |
|
|
Style Transfer (I8)
|
98% |
21366
28.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3476
124.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3232
115.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4827
172.4 IPS |
|
|
Text Classification (F32)
|
100% |
1621
2.33 KIPS |
|
|
Text Classification (F16)
|
100% |
1612
2.32 KIPS |
|
|
Text Classification (I8)
|
98% |
467
671.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1867
34.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1887
34.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2602
47.9 IPS |
