asus ASUSAI2501C
Geekbench AI Score
699
Single Precision Score
700
Half Precision Score
1640
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 03:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 22.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.7 IPS |
|
|
Image Classification (Q)
|
99% |
1171
218.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1109
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
720
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
2837
3.32 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (Q)
|
87% |
1225
98.3 IPS |
|
|
Face Detection (SP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
2517
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
870
6.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
872
6.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
2174
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1530
1.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1528
1.96 IPS |
|
|
Style Transfer (Q)
|
98% |
4147
5.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1717
63.6 IPS |
|
|
Text Classification (SP)
|
100% |
644
859.7 IPS |
|
|
Text Classification (HP)
|
100% |
663
885.1 IPS |
|
|
Text Classification (Q)
|
91% |
1033
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (Q)
|
57% |
777
19.0 IPS |
