Google Pixel 6
Geekbench ML Score
316
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2022 08:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
118
12.6 IPS |
|
|
Image Classification (F16)
|
100% |
110
11.7 IPS |
|
|
Image Classification (I8)
|
81% |
263
28.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
335
2.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
357
2.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
884
5.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
275
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
147
5.16 IPS |
|
|
Object Detection (F16)
|
100% |
153
5.37 IPS |
|
|
Object Detection (I8)
|
52% |
313
11.0 IPS |
|
|
Face Detection (F32)
|
100% |
425
4.88 IPS |
|
|
Face Detection (F16)
|
100% |
445
5.11 IPS |
|
|
Face Detection (I8)
|
75% |
601
6.90 IPS |
|
|
Text Classification (F32)
|
100% |
388
153.5 IPS |
|
|
Text Classification (F16)
|
100% |
373
147.7 IPS |
|
|
Machine Translation (F32)
|
100% |
679
104.7 IPS |
|
|
Machine Translation (F16)
|
100% |
673
103.7 IPS |
