Google Pixel 6 Pro
Geekbench ML Score
1565
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2021 11:09 PM |
| Views | 2 |
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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
668
71.6 IPS |
|
|
Image Classification (F16)
|
100% |
5185
555.5 IPS |
|
|
Image Classification (I8)
|
79% |
9622
1.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1110
6.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
225
1.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
22754
140.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
773
3.13 IPS |
|
|
Pose Estimation (F16)
|
80% |
4567
18.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
11428
46.2 IPS |
|
|
Object Detection (F32)
|
100% |
642
22.5 IPS |
|
|
Object Detection (F16)
|
100% |
1294
45.4 IPS |
|
|
Object Detection (I8)
|
50% |
1466
51.5 IPS |
|
|
Face Detection (F32)
|
100% |
1627
18.7 IPS |
|
|
Face Detection (F16)
|
97% |
5124
58.9 IPS |
|
|
Face Detection (I8)
|
75% |
14857
170.7 IPS |
|
|
Text Classification (F32)
|
100% |
180
71.2 IPS |
|
|
Text Classification (F16)
|
100% |
73
28.8 IPS |
|
|
Machine Translation (F32)
|
100% |
574
88.5 IPS |
|
|
Machine Translation (F16)
|
100% |
572
88.2 IPS |
