ASUS System Product Name
Geekbench AI Score
4154
Single Precision Score
4130
Half Precision Score
10770
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 03:24 AM |
| Views | 2 |
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 WIFI |
| Power Plan | Ausbalanciert |
| 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% |
2536
471.6 IPS |
|
|
Image Classification (HP)
|
100% |
2579
479.6 IPS |
|
|
Image Classification (Q)
|
100% |
7283
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6252
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5344
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4885
5.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
20509
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
2521
199.9 IPS |
|
|
Object Detection (Q)
|
88% |
7349
589.1 IPS |
|
|
Face Detection (SP)
|
100% |
5613
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
5634
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
17691
210.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7055
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6918
53.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
19254
149.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13344
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14043
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
54088
69.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3164
116.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3147
116.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10989
407.0 IPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (Q)
|
92% |
4088
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3699
63.7 IPS |
