asus ASUSAI2501C
Geekbench AI Score
2325
Single Precision Score
2841
Half Precision Score
5063
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 08:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
292
54.3 IPS |
|
|
Image Classification (HP)
|
100% |
2225
413.9 IPS |
|
|
Image Classification (Q)
|
100% |
4704
874.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5134
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5300
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5003
5.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
12716
15.1 IPS |
|
|
Object Detection (SP)
|
98% |
1708
135.9 IPS |
|
|
Object Detection (HP)
|
98% |
1753
139.5 IPS |
|
|
Object Detection (Q)
|
83% |
3892
314.4 IPS |
|
|
Face Detection (SP)
|
100% |
4502
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
4485
53.3 IPS |
|
|
Face Detection (Q)
|
95% |
9516
113.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4520
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4527
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10000
91.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10902
14.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10656
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24050
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2369
87.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6511
241.3 IPS |
|
|
Text Classification (SP)
|
100% |
951
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
995
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1075
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
579
20.6 IPS |
