Google Pixel 6 Pro
Geekbench ML Score
1272
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2021 09:56 AM |
| Views | 1 |
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 | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
693
74.2 IPS |
|
|
Image Classification (F16)
|
100% |
4224
452.5 IPS |
|
|
Image Classification (I8)
|
79% |
7429
796.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
842
5.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
187
1.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
17066
105.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
757
3.06 IPS |
|
|
Pose Estimation (F16)
|
80% |
3481
14.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
8588
34.7 IPS |
|
|
Object Detection (F32)
|
100% |
531
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
879
30.9 IPS |
|
|
Object Detection (I8)
|
50% |
963
33.8 IPS |
|
|
Face Detection (F32)
|
100% |
1613
18.5 IPS |
|
|
Face Detection (F16)
|
97% |
4138
47.5 IPS |
|
|
Face Detection (I8)
|
75% |
11607
133.4 IPS |
|
|
Text Classification (F32)
|
100% |
210
83.2 IPS |
|
|
Text Classification (F16)
|
100% |
60
23.7 IPS |
|
|
Machine Translation (F32)
|
100% |
406
62.6 IPS |
|
|
Machine Translation (F16)
|
100% |
415
63.9 IPS |
