ASUS All Series
Geekbench AI Score
2347
Single Precision Score
2347
Half Precision Score
2599
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ViNsTeR777 |
| Upload Date | March 04 2025 11:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4590 CPU @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VII HERO |
| Power Plan | Balanced |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (Q)
|
100% |
1603
298.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1811
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3043
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3045
3.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
3570
4.19 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (Q)
|
87% |
1609
129.0 IPS |
|
|
Face Detection (SP)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (Q)
|
97% |
4344
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3867
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3846
29.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
4309
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8705
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8730
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10244
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1852
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2159
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
1888
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (Q)
|
91% |
1122
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1821
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1817
31.3 IPS |
