ASUS ROG Phone 3
Geekbench ML Score
1489
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 12 2021 09:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | ASUS ROG Phone 3 |
| Model ID | asus ASUS_I003DD |
| 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 | 11.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1081
115.9 IPS |
|
|
Image Classification (F16)
|
100% |
1846
197.8 IPS |
|
|
Image Classification (I8)
|
80% |
1628
174.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2728
16.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4868
30.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
4819
29.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1302
5.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
2265
9.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
2241
9.07 IPS |
|
|
Object Detection (F32)
|
100% |
733
25.7 IPS |
|
|
Object Detection (F16)
|
99% |
907
31.8 IPS |
|
|
Object Detection (I8)
|
53% |
840
29.5 IPS |
|
|
Face Detection (F32)
|
100% |
1979
22.7 IPS |
|
|
Face Detection (F16)
|
97% |
3532
40.6 IPS |
|
|
Face Detection (I8)
|
76% |
3188
36.6 IPS |
|
|
Text Classification (F32)
|
100% |
564
222.9 IPS |
|
|
Text Classification (F16)
|
98% |
597
236.1 IPS |
|
|
Machine Translation (F32)
|
100% |
576
88.8 IPS |
|
|
Machine Translation (F16)
|
100% |
584
89.9 IPS |
