asus ASUSAI2501C
Geekbench AI Score
2306
Single Precision Score
2746
Half Precision Score
5042
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | IDEA_ELD |
| Upload Date | June 17 2025 01:50 PM |
| Views | 4 |
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 | 14.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
318
59.1 IPS |
|
|
Image Classification (HP)
|
100% |
2114
393.2 IPS |
|
|
Image Classification (Q)
|
100% |
4266
793.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5128
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5463
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
5301
6.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
13152
15.6 IPS |
|
|
Object Detection (SP)
|
98% |
1679
133.7 IPS |
|
|
Object Detection (HP)
|
98% |
1690
134.4 IPS |
|
|
Object Detection (Q)
|
83% |
4025
325.1 IPS |
|
|
Face Detection (SP)
|
100% |
4195
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
4231
50.3 IPS |
|
|
Face Detection (Q)
|
95% |
9517
113.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4299
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4437
34.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
9668
88.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11271
14.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10021
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24653
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2243
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6456
239.2 IPS |
|
|
Text Classification (SP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
589
20.9 IPS |
