Google Pixel 6
Geekbench ML Score
308
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2021 06:18 PM |
| Views | 973 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
108
11.6 IPS |
|
|
Image Classification (F16)
|
100% |
99
10.6 IPS |
|
|
Image Classification (I8)
|
81% |
228
24.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
368
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
291
1.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
698
4.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
267
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
263
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
233
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
127
4.46 IPS |
|
|
Object Detection (F16)
|
100% |
127
4.47 IPS |
|
|
Object Detection (I8)
|
52% |
281
9.87 IPS |
|
|
Face Detection (F32)
|
100% |
625
7.18 IPS |
|
|
Face Detection (F16)
|
100% |
588
6.76 IPS |
|
|
Face Detection (I8)
|
75% |
483
5.55 IPS |
|
|
Text Classification (F32)
|
100% |
432
171.0 IPS |
|
|
Text Classification (F16)
|
100% |
407
161.1 IPS |
|
|
Machine Translation (F32)
|
100% |
686
105.7 IPS |
|
|
Machine Translation (F16)
|
100% |
683
105.2 IPS |
