asus ASUSAI2501C
Geekbench AI Score
1321
Single Precision Score
2534
Half Precision Score
2495
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 02:12 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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
757
140.9 IPS |
|
|
Image Classification (HP)
|
100% |
1897
352.7 IPS |
|
|
Image Classification (Q)
|
99% |
1791
334.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3456
56.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3246
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1579
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2448
2.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
2462
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (HP)
|
100% |
1377
109.3 IPS |
|
|
Object Detection (Q)
|
86% |
1369
110.0 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5930
70.5 IPS |
|
|
Face Detection (Q)
|
97% |
5475
65.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1577
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4377
33.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
3697
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5839
7.51 IPS |
|
|
Style Transfer (HP)
|
100% |
12577
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
12521
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1959
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2046
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.2 IPS |
|
|
Text Classification (HP)
|
100% |
702
937.2 IPS |
|
|
Text Classification (Q)
|
91% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (Q)
|
57% |
841
20.5 IPS |
