ASUS All Series
Geekbench ML Score
1164
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 09:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. Q87M-E |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 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% |
749
140.1 IPS |
|
|
Image Classification (F16)
|
100% |
697
130.4 IPS |
|
|
Image Classification (I8)
|
97% |
946
177.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
537
8.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
500
8.35 IPS |
|
|
Image Segmentation (I8)
|
97% |
736
12.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1874
2.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
1737
2.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
2547
3.08 IPS |
|
|
Object Detection (F32)
|
100% |
649
48.5 IPS |
|
|
Object Detection (F16)
|
100% |
638
47.7 IPS |
|
|
Object Detection (I8)
|
60% |
607
45.3 IPS |
|
|
Face Detection (F32)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (F16)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (I8)
|
87% |
1682
20.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2296
17.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2220
17.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
2961
23.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5610
7.38 IPS |
|
|
Style Transfer (F16)
|
100% |
4849
6.38 IPS |
|
|
Style Transfer (I8)
|
85% |
5054
6.65 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
972
34.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
982
35.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1007
36.0 IPS |
|
|
Text Classification (F32)
|
100% |
763
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
969
1.39 KIPS |
|
|
Text Classification (I8)
|
94% |
262
376.4 IPS |
|
|
Machine Translation (F32)
|
100% |
768
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
787
14.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1085
20.0 IPS |
