asus ASUSAI2501C
Geekbench AI Score
1292
Single Precision Score
2498
Half Precision Score
2467
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 04:21 PM |
| Views | 2 |
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 | 22.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
701
130.3 IPS |
|
|
Image Classification (HP)
|
100% |
1945
361.8 IPS |
|
|
Image Classification (Q)
|
99% |
1844
344.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2784
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1577
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2454
2.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
2450
2.87 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (Q)
|
86% |
1441
115.8 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5704
67.8 IPS |
|
|
Face Detection (Q)
|
97% |
5715
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1551
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4383
33.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3631
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5806
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
12453
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12385
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
646
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1997
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1964
72.8 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.3 IPS |
|
|
Text Classification (HP)
|
100% |
702
937.3 IPS |
|
|
Text Classification (Q)
|
91% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (Q)
|
57% |
834
20.4 IPS |
