Google Pixel 6 Pro
Geekbench ML Score
1809
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 02 2023 01:47 AM |
| Views | 1 |
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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
680
72.9 IPS |
|
|
Image Classification (F16)
|
100% |
5804
621.9 IPS |
|
|
Image Classification (I8)
|
79% |
9648
1.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1075
6.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
7282
45.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
30204
186.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
813
3.29 IPS |
|
|
Pose Estimation (F16)
|
80% |
5485
22.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
13370
54.1 IPS |
|
|
Object Detection (F32)
|
100% |
577
20.3 IPS |
|
|
Object Detection (F16)
|
100% |
96
3.39 IPS |
|
|
Object Detection (I8)
|
50% |
1859
65.2 IPS |
|
|
Face Detection (F32)
|
100% |
1534
17.6 IPS |
|
|
Face Detection (F16)
|
100% |
525
6.04 IPS |
|
|
Face Detection (I8)
|
75% |
17658
202.9 IPS |
|
|
Text Classification (F32)
|
100% |
191
75.5 IPS |
|
|
Text Classification (F16)
|
100% |
1124
444.5 IPS |
|
|
Machine Translation (F32)
|
100% |
683
105.2 IPS |
|
|
Machine Translation (F16)
|
100% |
679
104.7 IPS |
