asus ASUSAI2501C
Geekbench AI Score
2454
Single Precision Score
2991
Half Precision Score
5404
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 06:49 PM |
| Views | 2 |
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% |
305
56.7 IPS |
|
|
Image Classification (HP)
|
100% |
2259
420.2 IPS |
|
|
Image Classification (Q)
|
100% |
4672
868.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2649
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5677
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5645
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5580
6.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
13868
16.4 IPS |
|
|
Object Detection (SP)
|
98% |
1831
145.7 IPS |
|
|
Object Detection (HP)
|
98% |
1833
145.8 IPS |
|
|
Object Detection (Q)
|
83% |
4242
342.7 IPS |
|
|
Face Detection (SP)
|
100% |
4653
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
4639
55.1 IPS |
|
|
Face Detection (Q)
|
95% |
10323
123.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4679
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4662
36.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10856
99.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11745
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11607
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25798
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2470
91.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2484
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6789
251.6 IPS |
|
|
Text Classification (SP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1020
1.36 KIPS |
|
|
Text Classification (Q)
|
88% |
1118
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (Q)
|
50% |
621
22.0 IPS |
