asus ASUSAI2501C
Geekbench AI Score
2960
Single Precision Score
4751
Half Precision Score
3996
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ShinRasetsu |
| Upload Date | September 24 2025 04:16 AM |
| Views | 6 |
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 | 22.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1935
359.9 IPS |
|
|
Image Classification (HP)
|
100% |
3281
610.1 IPS |
|
|
Image Classification (Q)
|
100% |
3098
576.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3854
62.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6747
109.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6515
105.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13295
15.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
24280
28.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23875
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
99% |
2335
185.2 IPS |
|
|
Object Detection (Q)
|
85% |
2230
179.5 IPS |
|
|
Face Detection (SP)
|
100% |
6167
73.3 IPS |
|
|
Face Detection (HP)
|
100% |
11104
131.9 IPS |
|
|
Face Detection (Q)
|
97% |
9561
114.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6863
52.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9420
72.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7310
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16702
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37593
48.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37114
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3798
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6199
228.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6047
224.1 IPS |
|
|
Text Classification (SP)
|
35% |
98
958.7 IPS |
|
|
Text Classification (HP)
|
35% |
101
914.7 IPS |
|
|
Text Classification (Q)
|
33% |
80
897.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (Q)
|
48% |
771
29.6 IPS |
