asus ASUSAI2501E
Geekbench ML Score
2315
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 04:36 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% |
1397
261.4 IPS |
|
|
Image Classification (F16)
|
100% |
1396
261.2 IPS |
|
|
Image Classification (I8)
|
97% |
1886
352.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1833
30.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1783
29.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2088
34.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2333
2.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
2282
2.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
9681
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
1345
100.4 IPS |
|
|
Object Detection (F16)
|
100% |
1339
99.9 IPS |
|
|
Object Detection (I8)
|
61% |
2532
189.1 IPS |
|
|
Face Detection (F32)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (F16)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (I8)
|
86% |
4640
55.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2536
19.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2517
19.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
5158
40.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3806
5.01 IPS |
|
|
Style Transfer (F16)
|
100% |
3747
4.93 IPS |
|
|
Style Transfer (I8)
|
98% |
10693
14.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1492
53.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1477
52.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
4927
176.0 IPS |
|
|
Text Classification (F32)
|
100% |
1181
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1151
1.65 KIPS |
|
|
Text Classification (I8)
|
92% |
900
1.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
2306
42.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2279
41.9 IPS |
|
|
Machine Translation (I8)
|
64% |
1210
22.3 IPS |
