asus ASUSAI2501C
Geekbench AI Score
1284
Single Precision Score
2488
Half Precision Score
2436
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | IDEA_ELD |
| Upload Date | June 17 2025 01:56 PM |
| Views | 7 |
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% |
755
140.3 IPS |
|
|
Image Classification (HP)
|
100% |
1827
339.7 IPS |
|
|
Image Classification (Q)
|
99% |
1705
318.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3468
56.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3251
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1577
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2454
2.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
2459
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
553
43.9 IPS |
|
|
Object Detection (HP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (Q)
|
86% |
1369
110.0 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5970
70.9 IPS |
|
|
Face Detection (Q)
|
97% |
5501
65.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1565
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4385
33.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3676
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5846
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
12595
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
12546
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
671
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2072
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2016
74.7 IPS |
|
|
Text Classification (SP)
|
100% |
610
814.1 IPS |
|
|
Text Classification (HP)
|
100% |
633
845.0 IPS |
|
|
Text Classification (Q)
|
91% |
1024
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
57% |
756
18.5 IPS |
