ASUS ROG Phone 3
Geekbench ML Score
432
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 12 2021 09:11 PM |
| Views | 1 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
375
40.2 IPS |
|
|
Image Classification (F16)
|
100% |
371
39.7 IPS |
|
|
Image Classification (I8)
|
81% |
221
23.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
644
3.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
638
3.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
932
5.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
265
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
263
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
242
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
422
14.8 IPS |
|
|
Object Detection (F16)
|
100% |
449
15.8 IPS |
|
|
Object Detection (I8)
|
52% |
310
10.9 IPS |
|
|
Face Detection (F32)
|
100% |
656
7.54 IPS |
|
|
Face Detection (F16)
|
100% |
655
7.53 IPS |
|
|
Face Detection (I8)
|
75% |
581
6.68 IPS |
|
|
Text Classification (F32)
|
100% |
357
141.0 IPS |
|
|
Text Classification (F16)
|
100% |
353
139.5 IPS |
|
|
Machine Translation (F32)
|
100% |
569
87.7 IPS |
|
|
Machine Translation (F16)
|
100% |
579
89.2 IPS |
