asus ASUSAI2501C
Geekbench AI Score
2973
Single Precision Score
4749
Half Precision Score
4014
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | IDEA_ELD |
| Upload Date | July 11 2025 06:48 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
2008
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
3308
615.2 IPS |
|
|
Image Classification (Q)
|
100% |
3114
579.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3838
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6720
108.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6612
107.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13287
15.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
24118
28.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23747
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
99% |
2347
186.2 IPS |
|
|
Object Detection (Q)
|
85% |
2225
179.1 IPS |
|
|
Face Detection (SP)
|
100% |
6157
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
10981
130.5 IPS |
|
|
Face Detection (Q)
|
97% |
9665
115.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6880
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9481
73.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
7350
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16793
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37269
47.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37023
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3800
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6202
229.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6112
226.5 IPS |
|
|
Text Classification (SP)
|
35% |
100
973.7 IPS |
|
|
Text Classification (HP)
|
35% |
102
924.5 IPS |
|
|
Text Classification (Q)
|
33% |
81
907.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1890
32.6 IPS |
|
|
Machine Translation (Q)
|
48% |
768
29.5 IPS |
