ASUS All Series
Geekbench AI Score
2357
Single Precision Score
2346
Half Precision Score
2611
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ViNsTeR777 |
| Upload Date | March 04 2025 11:09 AM |
| Views | 3 |
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% |
1439
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
1431
266.2 IPS |
|
|
Image Classification (Q)
|
100% |
1600
297.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1826
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3046
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
3550
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.2 IPS |
|
|
Object Detection (HP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (Q)
|
87% |
1624
130.3 IPS |
|
|
Face Detection (SP)
|
100% |
2838
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
2817
33.5 IPS |
|
|
Face Detection (Q)
|
97% |
4412
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3914
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3911
30.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
4326
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8788
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8748
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10137
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1825
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2141
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
1877
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1862
2.49 KIPS |
|
|
Text Classification (Q)
|
91% |
1113
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1839
31.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1899
32.7 IPS |
