asus ASUSAI2501B
Geekbench AI Score
2884
Single Precision Score
2868
Half Precision Score
5271
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 05:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501B |
| Model ID | asus ASUSAI2501B |
| 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% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
2141
398.1 IPS |
|
|
Image Classification (Q)
|
100% |
4635
862.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5673
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5432
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
5221
6.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
13274
15.7 IPS |
|
|
Object Detection (SP)
|
98% |
1727
137.4 IPS |
|
|
Object Detection (HP)
|
98% |
1712
136.2 IPS |
|
|
Object Detection (Q)
|
83% |
4025
325.1 IPS |
|
|
Face Detection (SP)
|
100% |
4439
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
4424
52.6 IPS |
|
|
Face Detection (Q)
|
95% |
9720
116.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4528
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4551
35.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10441
95.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11293
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11249
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25863
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2433
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2398
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6687
247.8 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
999
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1098
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (Q)
|
50% |
612
21.7 IPS |
