asus ASUS_AI2401_D
Geekbench ML Score
1319
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 10 2024 12:30 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | asus ASUS_AI2401_D |
| Model ID | asus ASUS_AI2401_D |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
848
158.7 IPS |
|
|
Image Classification (F16)
|
100% |
1349
252.5 IPS |
|
|
Image Classification (I8)
|
99% |
1073
200.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1299
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2690
44.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2361
39.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1019
1.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
2366
2.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
2466
2.99 IPS |
|
|
Object Detection (F32)
|
100% |
489
36.5 IPS |
|
|
Object Detection (F16)
|
100% |
462
34.5 IPS |
|
|
Object Detection (I8)
|
62% |
428
32.0 IPS |
|
|
Face Detection (F32)
|
100% |
2780
33.1 IPS |
|
|
Face Detection (F16)
|
97% |
4540
54.0 IPS |
|
|
Face Detection (I8)
|
86% |
4238
50.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1836
14.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3777
29.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3777
29.3 IPS |
|
|
Style Transfer (F32)
|
100% |
6598
8.68 IPS |
|
|
Style Transfer (F16)
|
100% |
10115
13.3 IPS |
|
|
Style Transfer (I8)
|
98% |
10135
13.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
561
20.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1659
59.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1618
57.8 IPS |
|
|
Text Classification (F32)
|
100% |
185
265.9 IPS |
|
|
Text Classification (F16)
|
100% |
185
265.7 IPS |
|
|
Text Classification (I8)
|
92% |
303
435.2 IPS |
|
|
Machine Translation (F32)
|
100% |
355
6.54 IPS |
|
|
Machine Translation (F16)
|
100% |
332
6.11 IPS |
|
|
Machine Translation (I8)
|
64% |
406
7.48 IPS |
