Google Pixel 6 Pro
Geekbench ML Score
310
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2021 10:15 PM |
| Views | 4 |
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% |
112
12.0 IPS |
|
|
Image Classification (F16)
|
100% |
100
10.7 IPS |
|
|
Image Classification (I8)
|
81% |
216
23.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
272
1.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
587
3.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
682
4.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
276
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
258
1.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
249
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
126
4.42 IPS |
|
|
Object Detection (F16)
|
100% |
129
4.53 IPS |
|
|
Object Detection (I8)
|
52% |
275
9.66 IPS |
|
|
Face Detection (F32)
|
100% |
579
6.65 IPS |
|
|
Face Detection (F16)
|
100% |
602
6.92 IPS |
|
|
Face Detection (I8)
|
75% |
479
5.50 IPS |
|
|
Text Classification (F32)
|
100% |
394
155.8 IPS |
|
|
Text Classification (F16)
|
100% |
389
153.9 IPS |
|
|
Machine Translation (F32)
|
100% |
644
99.3 IPS |
|
|
Machine Translation (F16)
|
100% |
642
99.0 IPS |
