ASUS All Series
Geekbench ML Score
1343
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 08:40 PM |
| Views | 2 |
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% |
767
143.5 IPS |
|
|
Image Classification (F16)
|
100% |
796
148.9 IPS |
|
|
Image Classification (I8)
|
97% |
971
181.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
602
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
591
9.87 IPS |
|
|
Image Segmentation (I8)
|
97% |
889
14.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2405
2.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
2446
2.96 IPS |
|
|
Pose Estimation (I8)
|
100% |
2935
3.55 IPS |
|
|
Object Detection (F32)
|
100% |
760
56.8 IPS |
|
|
Object Detection (F16)
|
100% |
808
60.3 IPS |
|
|
Object Detection (I8)
|
60% |
810
60.5 IPS |
|
|
Face Detection (F32)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (I8)
|
87% |
1761
20.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2618
20.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2532
19.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
3263
25.3 IPS |
|
|
Style Transfer (F32)
|
100% |
5951
7.83 IPS |
|
|
Style Transfer (F16)
|
100% |
6131
8.06 IPS |
|
|
Style Transfer (I8)
|
85% |
5839
7.68 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1280
45.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1225
43.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1332
47.6 IPS |
|
|
Text Classification (F32)
|
100% |
935
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
972
1.40 KIPS |
|
|
Text Classification (I8)
|
94% |
267
383.7 IPS |
|
|
Machine Translation (F32)
|
100% |
877
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
893
16.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1140
21.0 IPS |
