asus ASUSAI2501C
Geekbench AI Score
713
Single Precision Score
712
Half Precision Score
1657
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ShinRasetsu |
| Upload Date | September 24 2025 04:23 AM |
| Views | 2 |
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 | 22.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.6 IPS |
|
|
Image Classification (Q)
|
99% |
1093
203.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
549
8.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1121
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
733
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
724
0.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
2910
3.41 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (Q)
|
87% |
1246
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
2533
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
889
6.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
885
6.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
2201
20.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1547
1.99 IPS |
|
|
Style Transfer (HP)
|
100% |
1545
1.99 IPS |
|
|
Style Transfer (Q)
|
98% |
4290
5.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1776
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
669
893.5 IPS |
|
|
Text Classification (HP)
|
100% |
664
886.5 IPS |
|
|
Text Classification (Q)
|
91% |
1047
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
57% |
793
19.4 IPS |
