Google Pixel 6 Pro
Geekbench ML Score
1708
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 14 2023 07:59 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% |
690
73.9 IPS |
|
|
Image Classification (F16)
|
100% |
5478
587.0 IPS |
|
|
Image Classification (I8)
|
79% |
8810
944.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1087
6.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
6932
42.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
28298
174.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
850
3.44 IPS |
|
|
Pose Estimation (F16)
|
80% |
5428
22.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
13326
53.9 IPS |
|
|
Object Detection (F32)
|
100% |
593
20.8 IPS |
|
|
Object Detection (F16)
|
100% |
103
3.62 IPS |
|
|
Object Detection (I8)
|
50% |
1469
51.6 IPS |
|
|
Face Detection (F32)
|
100% |
1459
16.8 IPS |
|
|
Face Detection (F16)
|
100% |
495
5.68 IPS |
|
|
Face Detection (I8)
|
75% |
14314
164.5 IPS |
|
|
Text Classification (F32)
|
100% |
185
73.2 IPS |
|
|
Text Classification (F16)
|
100% |
1033
408.7 IPS |
|
|
Machine Translation (F32)
|
100% |
581
89.5 IPS |
|
|
Machine Translation (F16)
|
100% |
583
89.8 IPS |
