ASUS System Product Name
Geekbench AI Score
4009
Single Precision Score
3998
Half Precision Score
11238
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 01:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11400 @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B560M-PLUS |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2450
455.7 IPS |
|
|
Image Classification (HP)
|
100% |
2469
459.2 IPS |
|
|
Image Classification (Q)
|
100% |
7917
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2648
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7109
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5361
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
5345
6.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
21155
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.7 IPS |
|
|
Object Detection (HP)
|
100% |
2361
187.2 IPS |
|
|
Object Detection (Q)
|
88% |
8024
643.2 IPS |
|
|
Face Detection (SP)
|
100% |
4330
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
4338
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
18006
213.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6771
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6726
51.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
19468
151.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14239
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14119
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
55050
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3068
113.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3080
113.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11225
415.7 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (Q)
|
92% |
4366
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3559
61.3 IPS |
