asus ASUS_I002D
Geekbench ML Score
1430
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 01:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | asus ASUS_I002D |
| Model ID | asus ASUS_I002D |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1017
109.0 IPS |
|
|
Image Classification (F16)
|
100% |
1744
186.9 IPS |
|
|
Image Classification (I8)
|
80% |
1529
163.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2607
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
4707
29.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
4548
28.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1302
5.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
2230
9.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
2222
8.99 IPS |
|
|
Object Detection (F32)
|
100% |
696
24.4 IPS |
|
|
Object Detection (F16)
|
99% |
799
28.0 IPS |
|
|
Object Detection (I8)
|
53% |
830
29.1 IPS |
|
|
Face Detection (F32)
|
100% |
1886
21.7 IPS |
|
|
Face Detection (F16)
|
97% |
3504
40.3 IPS |
|
|
Face Detection (I8)
|
76% |
3123
35.9 IPS |
|
|
Text Classification (F32)
|
100% |
517
204.4 IPS |
|
|
Text Classification (F16)
|
98% |
555
219.5 IPS |
|
|
Machine Translation (F32)
|
100% |
583
89.9 IPS |
|
|
Machine Translation (F16)
|
100% |
579
89.2 IPS |
