asus ASUS_AI2302
Geekbench ML Score
845
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 09 2024 04:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | asus ASUS_AI2302 |
| Model ID | asus ASUS_AI2302 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
81
15.2 IPS |
|
|
Image Classification (F16)
|
100% |
92
17.2 IPS |
|
|
Image Classification (I8)
|
97% |
822
153.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
685
11.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
680
11.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
804
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1243
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
1192
1.44 IPS |
|
|
Pose Estimation (I8)
|
100% |
4667
5.65 IPS |
|
|
Object Detection (F32)
|
100% |
503
37.5 IPS |
|
|
Object Detection (F16)
|
100% |
502
37.5 IPS |
|
|
Object Detection (I8)
|
61% |
913
68.1 IPS |
|
|
Face Detection (F32)
|
100% |
1130
13.4 IPS |
|
|
Face Detection (F16)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (I8)
|
86% |
1814
21.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1178
9.14 IPS |
|
|
Depth Estimation (F16)
|
100% |
1151
8.93 IPS |
|
|
Depth Estimation (I8)
|
95% |
2044
15.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2084
2.74 IPS |
|
|
Style Transfer (F16)
|
100% |
1910
2.51 IPS |
|
|
Style Transfer (I8)
|
98% |
3436
4.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
660
23.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
638
22.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1695
60.5 IPS |
|
|
Text Classification (F32)
|
100% |
510
732.9 IPS |
|
|
Text Classification (F16)
|
100% |
507
728.8 IPS |
|
|
Text Classification (I8)
|
92% |
333
478.6 IPS |
|
|
Machine Translation (F32)
|
100% |
986
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
992
18.2 IPS |
|
|
Machine Translation (I8)
|
64% |
336
6.19 IPS |
