asus ASUSAI2501E
Geekbench ML Score
2304
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 04:45 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1375
257.3 IPS |
|
|
Image Classification (F16)
|
100% |
1384
259.0 IPS |
|
|
Image Classification (I8)
|
97% |
1892
354.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1835
30.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1830
30.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2088
34.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2354
2.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
2301
2.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
9662
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
1327
99.0 IPS |
|
|
Object Detection (F16)
|
100% |
1326
99.0 IPS |
|
|
Object Detection (I8)
|
61% |
2517
187.9 IPS |
|
|
Face Detection (F32)
|
100% |
2754
32.7 IPS |
|
|
Face Detection (F16)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (I8)
|
86% |
4653
55.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2521
19.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2503
19.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
4783
37.1 IPS |
|
|
Style Transfer (F32)
|
100% |
3761
4.95 IPS |
|
|
Style Transfer (F16)
|
100% |
3725
4.90 IPS |
|
|
Style Transfer (I8)
|
98% |
10698
14.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1502
53.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1509
53.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
4860
173.6 IPS |
|
|
Text Classification (F32)
|
100% |
1198
1.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1197
1.72 KIPS |
|
|
Text Classification (I8)
|
92% |
842
1.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
2312
42.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2274
41.8 IPS |
|
|
Machine Translation (I8)
|
64% |
1170
21.5 IPS |
