Google Pixel 6 Pro
Geekbench ML Score
1549
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 11 2023 08:55 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 11.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
643
68.9 IPS |
|
|
Image Classification (F16)
|
100% |
4965
531.9 IPS |
|
|
Image Classification (I8)
|
79% |
8087
866.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1078
6.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
6026
37.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
24427
150.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
833
3.37 IPS |
|
|
Pose Estimation (F16)
|
80% |
4571
18.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
11449
46.3 IPS |
|
|
Object Detection (F32)
|
100% |
607
21.3 IPS |
|
|
Object Detection (F16)
|
100% |
80
2.80 IPS |
|
|
Object Detection (I8)
|
50% |
1333
46.8 IPS |
|
|
Face Detection (F32)
|
100% |
1430
16.4 IPS |
|
|
Face Detection (F16)
|
100% |
437
5.02 IPS |
|
|
Face Detection (I8)
|
75% |
12976
149.1 IPS |
|
|
Text Classification (F32)
|
100% |
143
56.8 IPS |
|
|
Text Classification (F16)
|
100% |
996
394.0 IPS |
|
|
Machine Translation (F32)
|
100% |
555
85.6 IPS |
|
|
Machine Translation (F16)
|
100% |
554
85.4 IPS |
