asus ASUSAI2501B
Geekbench AI Score
3009
Single Precision Score
2982
Half Precision Score
5470
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 05:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501B |
| Model ID | asus ASUSAI2501B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2271
422.3 IPS |
|
|
Image Classification (HP)
|
100% |
2280
424.1 IPS |
|
|
Image Classification (Q)
|
100% |
4814
895.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2683
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2685
43.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5889
95.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5760
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
5555
6.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
14047
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1851
147.3 IPS |
|
|
Object Detection (HP)
|
98% |
1853
147.5 IPS |
|
|
Object Detection (Q)
|
83% |
4240
342.5 IPS |
|
|
Face Detection (SP)
|
100% |
4507
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
4473
53.1 IPS |
|
|
Face Detection (Q)
|
95% |
10458
124.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4833
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4762
36.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10733
98.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11679
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11665
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26987
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2472
91.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6938
257.1 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.37 KIPS |
|
|
Text Classification (HP)
|
99% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
1088
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1449
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
622
22.1 IPS |
