ASUS All Series
Geekbench AI Score
861
Single Precision Score
489
Half Precision Score
1084
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 05:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4590 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. H97M-E |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4590 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
786
146.2 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
96% |
843
157.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
923
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1683
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1318
1.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
1867
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
58% |
391
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
417
4.95 IPS |
|
|
Face Detection (Q)
|
96% |
1479
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1246
9.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
603
4.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
1736
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3241
4.17 IPS |
|
|
Style Transfer (HP)
|
100% |
2492
3.20 IPS |
|
|
Style Transfer (Q)
|
87% |
3309
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
982
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
672
896.7 IPS |
|
|
Text Classification (HP)
|
100% |
366
489.0 IPS |
|
|
Text Classification (Q)
|
97% |
521
697.9 IPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (Q)
|
68% |
908
17.6 IPS |
