Google Pixel 6 Pro
Geekbench ML Score
319
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2021 08:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| 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 | 11.21 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
123
13.1 IPS |
|
|
Image Classification (F16)
|
100% |
107
11.5 IPS |
|
|
Image Classification (I8)
|
81% |
226
24.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
278
1.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
492
3.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
681
4.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
288
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
265
1.07 IPS |
|
|
Pose Estimation (I8)
|
80% |
218
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
140
4.91 IPS |
|
|
Object Detection (F16)
|
100% |
137
4.82 IPS |
|
|
Object Detection (I8)
|
52% |
291
10.2 IPS |
|
|
Face Detection (F32)
|
100% |
622
7.14 IPS |
|
|
Face Detection (F16)
|
100% |
607
6.97 IPS |
|
|
Face Detection (I8)
|
75% |
485
5.57 IPS |
|
|
Text Classification (F32)
|
100% |
403
159.6 IPS |
|
|
Text Classification (F16)
|
100% |
428
169.2 IPS |
|
|
Machine Translation (F32)
|
100% |
687
105.9 IPS |
|
|
Machine Translation (F16)
|
100% |
681
104.9 IPS |
