asus ASUSAI2501E
Geekbench ML Score
1938
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 04:48 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% |
701
131.1 IPS |
|
|
Image Classification (F16)
|
100% |
1898
355.1 IPS |
|
|
Image Classification (I8)
|
100% |
1508
282.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1573
26.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3212
53.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3266
54.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1537
1.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
2367
2.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
2406
2.91 IPS |
|
|
Object Detection (F32)
|
100% |
535
39.9 IPS |
|
|
Object Detection (F16)
|
100% |
1062
79.3 IPS |
|
|
Object Detection (I8)
|
59% |
830
62.0 IPS |
|
|
Face Detection (F32)
|
100% |
2864
34.0 IPS |
|
|
Face Detection (F16)
|
97% |
6153
73.2 IPS |
|
|
Face Detection (I8)
|
86% |
4739
56.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1556
12.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4291
33.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
4386
34.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5712
7.51 IPS |
|
|
Style Transfer (F16)
|
100% |
11949
15.7 IPS |
|
|
Style Transfer (I8)
|
98% |
11961
15.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
657
23.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1961
70.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1861
66.5 IPS |
|
|
Text Classification (F32)
|
100% |
660
948.1 IPS |
|
|
Text Classification (F16)
|
100% |
660
949.2 IPS |
|
|
Text Classification (I8)
|
92% |
1024
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
1121
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1106
20.3 IPS |
|
|
Machine Translation (I8)
|
64% |
1167
21.5 IPS |
