ASUS All Series
Geekbench ML Score
1332
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 08:48 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% |
804
150.4 IPS |
|
|
Image Classification (F16)
|
100% |
811
151.8 IPS |
|
|
Image Classification (I8)
|
97% |
974
182.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
592
9.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
570
9.52 IPS |
|
|
Image Segmentation (I8)
|
97% |
844
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2014
2.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
2401
2.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
2708
3.28 IPS |
|
|
Object Detection (F32)
|
100% |
768
57.3 IPS |
|
|
Object Detection (F16)
|
100% |
748
55.8 IPS |
|
|
Object Detection (I8)
|
60% |
764
57.0 IPS |
|
|
Face Detection (F32)
|
100% |
1115
13.3 IPS |
|
|
Face Detection (F16)
|
100% |
1123
13.4 IPS |
|
|
Face Detection (I8)
|
87% |
1730
20.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2484
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2953
22.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
3611
28.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5617
7.39 IPS |
|
|
Style Transfer (F16)
|
100% |
5924
7.79 IPS |
|
|
Style Transfer (I8)
|
85% |
5550
7.30 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1200
42.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1229
43.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1174
41.9 IPS |
|
|
Text Classification (F32)
|
100% |
957
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
963
1.38 KIPS |
|
|
Text Classification (I8)
|
94% |
302
433.7 IPS |
|
|
Machine Translation (F32)
|
100% |
895
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
971
17.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1180
21.7 IPS |
