asus ASUSAI2501C
Geekbench AI Score
728
Single Precision Score
727
Half Precision Score
1687
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 28 2025 09:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501C |
| Model ID | asus ASUSAI2501C |
| 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 | 22.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
450
83.6 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
99% |
1196
223.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
573
9.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1138
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
740
0.86 IPS |
|
|
Pose Estimation (Q)
|
98% |
2953
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (Q)
|
87% |
1263
101.3 IPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1045
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
2565
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
922
7.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
927
7.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
2251
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1578
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
1580
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
4314
5.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1753
65.0 IPS |
|
|
Text Classification (SP)
|
100% |
662
884.2 IPS |
|
|
Text Classification (HP)
|
100% |
665
887.5 IPS |
|
|
Text Classification (Q)
|
91% |
1058
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
57% |
799
19.5 IPS |
