Google Pixel 6
Geekbench ML Score
1693
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | grtrout |
| Upload Date | October 23 2021 06:55 PM |
| Views | 2803 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
686
73.4 IPS |
|
|
Image Classification (F16)
|
100% |
5506
590.0 IPS |
|
|
Image Classification (I8)
|
79% |
9462
1.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1182
7.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
258
1.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
25636
158.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
763
3.09 IPS |
|
|
Pose Estimation (F16)
|
80% |
5351
21.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
13343
54.0 IPS |
|
|
Object Detection (F32)
|
100% |
522
18.3 IPS |
|
|
Object Detection (F16)
|
100% |
1591
55.8 IPS |
|
|
Object Detection (I8)
|
50% |
1809
63.5 IPS |
|
|
Face Detection (F32)
|
100% |
1605
18.4 IPS |
|
|
Face Detection (F16)
|
97% |
5605
64.4 IPS |
|
|
Face Detection (I8)
|
75% |
16974
195.0 IPS |
|
|
Text Classification (F32)
|
100% |
163
64.4 IPS |
|
|
Text Classification (F16)
|
100% |
83
32.9 IPS |
|
|
Machine Translation (F32)
|
100% |
689
106.1 IPS |
|
|
Machine Translation (F16)
|
100% |
682
105.1 IPS |
