asus ASUSAI2501E
Geekbench ML Score
1008
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 04:55 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
441
82.6 IPS |
|
|
Image Classification (F16)
|
100% |
433
81.0 IPS |
|
|
Image Classification (I8)
|
97% |
1195
223.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
553
9.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
549
9.18 IPS |
|
|
Image Segmentation (I8)
|
98% |
1118
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
751
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
743
0.90 IPS |
|
|
Pose Estimation (I8)
|
100% |
3031
3.67 IPS |
|
|
Object Detection (F32)
|
100% |
453
33.8 IPS |
|
|
Object Detection (F16)
|
100% |
453
33.8 IPS |
|
|
Object Detection (I8)
|
61% |
1337
99.8 IPS |
|
|
Face Detection (F32)
|
100% |
1115
13.3 IPS |
|
|
Face Detection (F16)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (I8)
|
86% |
2645
31.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
950
7.37 IPS |
|
|
Depth Estimation (F16)
|
100% |
947
7.35 IPS |
|
|
Depth Estimation (I8)
|
95% |
2776
21.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1618
2.13 IPS |
|
|
Style Transfer (F16)
|
100% |
1609
2.12 IPS |
|
|
Style Transfer (I8)
|
98% |
4547
5.98 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
543
19.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
545
19.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2020
72.1 IPS |
|
|
Text Classification (F32)
|
100% |
659
947.5 IPS |
|
|
Text Classification (F16)
|
100% |
660
947.9 IPS |
|
|
Text Classification (I8)
|
92% |
1024
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
1106
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1095
20.1 IPS |
|
|
Machine Translation (I8)
|
64% |
1156
21.3 IPS |
