asus ASUSAI2501E
Geekbench ML Score
1443
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 04:18 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501E |
| Model ID | asus ASUSAI2501E |
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
736
137.7 IPS |
|
|
Image Classification (F16)
|
100% |
1495
279.7 IPS |
|
|
Image Classification (I8)
|
100% |
785
146.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
931
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1297
21.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1252
20.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1537
1.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
2372
2.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
2390
2.89 IPS |
|
|
Object Detection (F32)
|
100% |
496
37.0 IPS |
|
|
Object Detection (F16)
|
100% |
522
39.0 IPS |
|
|
Object Detection (I8)
|
59% |
501
37.4 IPS |
|
|
Face Detection (F32)
|
100% |
2874
34.2 IPS |
|
|
Face Detection (F16)
|
97% |
3970
47.2 IPS |
|
|
Face Detection (I8)
|
86% |
3988
47.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1562
12.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4303
33.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
4382
34.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5680
7.47 IPS |
|
|
Style Transfer (F16)
|
100% |
11935
15.7 IPS |
|
|
Style Transfer (I8)
|
98% |
11930
15.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
660
23.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1240
44.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1159
41.4 IPS |
|
|
Text Classification (F32)
|
100% |
400
574.2 IPS |
|
|
Text Classification (F16)
|
100% |
403
579.2 IPS |
|
|
Text Classification (I8)
|
92% |
626
900.2 IPS |
|
|
Machine Translation (F32)
|
100% |
732
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
734
13.5 IPS |
|
|
Machine Translation (I8)
|
64% |
742
13.7 IPS |
