Google Pixel 6
Geekbench ML Score
342
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2022 08:47 PM |
| Views | 4 |
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 | 7.41 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
131
14.0 IPS |
|
|
Image Classification (F16)
|
100% |
126
13.5 IPS |
|
|
Image Classification (I8)
|
81% |
230
24.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
532
3.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
482
2.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
721
4.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
273
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
257
1.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
234
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
182
6.38 IPS |
|
|
Object Detection (F16)
|
100% |
150
5.26 IPS |
|
|
Object Detection (I8)
|
52% |
303
10.6 IPS |
|
|
Face Detection (F32)
|
100% |
600
6.89 IPS |
|
|
Face Detection (F16)
|
100% |
568
6.52 IPS |
|
|
Face Detection (I8)
|
75% |
511
5.87 IPS |
|
|
Text Classification (F32)
|
100% |
416
164.6 IPS |
|
|
Text Classification (F16)
|
100% |
446
176.3 IPS |
|
|
Machine Translation (F32)
|
100% |
672
103.6 IPS |
|
|
Machine Translation (F16)
|
100% |
681
105.0 IPS |
