asus ASUSAI2501E
Geekbench ML Score
1986
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 04:47 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% |
700
130.9 IPS |
|
|
Image Classification (F16)
|
100% |
1906
356.6 IPS |
|
|
Image Classification (I8)
|
100% |
1826
341.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1565
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3340
55.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3189
53.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1531
1.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
2372
2.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
2390
2.89 IPS |
|
|
Object Detection (F32)
|
100% |
532
39.7 IPS |
|
|
Object Detection (F16)
|
100% |
1116
83.3 IPS |
|
|
Object Detection (I8)
|
59% |
1048
78.2 IPS |
|
|
Face Detection (F32)
|
100% |
2866
34.1 IPS |
|
|
Face Detection (F16)
|
97% |
6131
72.9 IPS |
|
|
Face Detection (I8)
|
86% |
5733
68.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1559
12.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4308
33.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
4388
34.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5687
7.48 IPS |
|
|
Style Transfer (F16)
|
100% |
11946
15.7 IPS |
|
|
Style Transfer (I8)
|
98% |
11946
15.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
668
23.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2000
71.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1926
68.8 IPS |
|
|
Text Classification (F32)
|
100% |
660
948.4 IPS |
|
|
Text Classification (F16)
|
100% |
660
948.2 IPS |
|
|
Text Classification (I8)
|
92% |
1024
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
1120
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1106
20.3 IPS |
|
|
Machine Translation (I8)
|
64% |
1165
21.4 IPS |
