asus ASUSAI2501H
Geekbench AI Score
1309
Single Precision Score
2548
Half Precision Score
2520
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 28 2025 10:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
758
141.0 IPS |
|
|
Image Classification (HP)
|
100% |
1938
360.5 IPS |
|
|
Image Classification (Q)
|
99% |
1848
344.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3408
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1570
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2462
2.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
2461
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (HP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (Q)
|
86% |
1429
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6102
72.5 IPS |
|
|
Face Detection (Q)
|
97% |
5653
67.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1585
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4341
33.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3697
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5861
7.53 IPS |
|
|
Style Transfer (HP)
|
100% |
12650
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
12563
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2079
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2046
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
656
875.3 IPS |
|
|
Text Classification (HP)
|
100% |
673
897.9 IPS |
|
|
Text Classification (Q)
|
91% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
57% |
804
19.6 IPS |
