asus ASUSAI2501H
Geekbench AI Score
2456
Single Precision Score
2937
Half Precision Score
5301
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 28 2025 10:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501H |
| Model ID | asus ASUSAI2501H |
| 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 | 14.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
2094
389.5 IPS |
|
|
Image Classification (Q)
|
100% |
4540
844.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5668
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5729
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
5619
6.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
13730
16.3 IPS |
|
|
Object Detection (SP)
|
98% |
1840
146.5 IPS |
|
|
Object Detection (HP)
|
98% |
1847
146.9 IPS |
|
|
Object Detection (Q)
|
83% |
4083
329.8 IPS |
|
|
Face Detection (SP)
|
100% |
4425
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
4459
53.0 IPS |
|
|
Face Detection (Q)
|
95% |
9849
117.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4701
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4726
36.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
10689
97.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11703
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11612
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25775
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2466
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2467
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6759
250.4 IPS |
|
|
Text Classification (SP)
|
100% |
1043
1.39 KIPS |
|
|
Text Classification (HP)
|
99% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1108
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (Q)
|
50% |
598
21.2 IPS |
