Google Pixel 6 Pro
Geekbench ML Score
1591
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2021 10:20 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% |
674
72.2 IPS |
|
|
Image Classification (F16)
|
100% |
4912
526.3 IPS |
|
|
Image Classification (I8)
|
79% |
8874
950.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1130
6.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
225
1.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
22294
137.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
782
3.16 IPS |
|
|
Pose Estimation (F16)
|
80% |
4563
18.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
11370
46.0 IPS |
|
|
Object Detection (F32)
|
100% |
599
21.0 IPS |
|
|
Object Detection (F16)
|
100% |
1408
49.4 IPS |
|
|
Object Detection (I8)
|
50% |
1611
56.5 IPS |
|
|
Face Detection (F32)
|
100% |
1563
18.0 IPS |
|
|
Face Detection (F16)
|
97% |
5194
59.7 IPS |
|
|
Face Detection (I8)
|
75% |
14956
171.8 IPS |
|
|
Text Classification (F32)
|
100% |
203
80.2 IPS |
|
|
Text Classification (F16)
|
100% |
73
28.9 IPS |
|
|
Machine Translation (F32)
|
100% |
645
99.4 IPS |
|
|
Machine Translation (F16)
|
100% |
643
99.0 IPS |
