asus ASUS_I002D
Geekbench ML Score
829
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 01:03 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
748
80.1 IPS |
|
|
Image Classification (F16)
|
100% |
1172
125.6 IPS |
|
|
Image Classification (I8)
|
80% |
1662
178.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1134
7.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
1386
8.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
3880
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
460
1.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
1720
6.96 IPS |
|
|
Pose Estimation (I8)
|
80% |
5852
23.7 IPS |
|
|
Object Detection (F32)
|
100% |
667
23.4 IPS |
|
|
Object Detection (F16)
|
100% |
823
28.9 IPS |
|
|
Object Detection (I8)
|
52% |
1410
49.5 IPS |
|
|
Face Detection (F32)
|
100% |
1169
13.4 IPS |
|
|
Face Detection (F16)
|
97% |
1496
17.2 IPS |
|
|
Face Detection (I8)
|
75% |
4441
51.0 IPS |
|
|
Text Classification (F32)
|
54% |
18
7.29 IPS |
|
|
Text Classification (F16)
|
54% |
19
7.41 IPS |
|
|
Machine Translation (F32)
|
100% |
581
89.6 IPS |
|
|
Machine Translation (F16)
|
100% |
582
89.7 IPS |
