Google Pixel 6 Pro
Geekbench ML Score
1651
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2022 02:19 PM |
| Views | 4 |
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% |
697
74.7 IPS |
|
|
Image Classification (F16)
|
100% |
5181
555.2 IPS |
|
|
Image Classification (I8)
|
79% |
8619
923.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
997
6.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
6070
37.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
25319
156.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
816
3.30 IPS |
|
|
Pose Estimation (F16)
|
80% |
4609
18.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
11384
46.1 IPS |
|
|
Object Detection (F32)
|
100% |
583
20.5 IPS |
|
|
Object Detection (F16)
|
100% |
94
3.30 IPS |
|
|
Object Detection (I8)
|
50% |
1590
55.8 IPS |
|
|
Face Detection (F32)
|
100% |
1569
18.0 IPS |
|
|
Face Detection (F16)
|
100% |
481
5.53 IPS |
|
|
Face Detection (I8)
|
75% |
15442
177.4 IPS |
|
|
Text Classification (F32)
|
100% |
153
60.7 IPS |
|
|
Text Classification (F16)
|
100% |
1089
430.7 IPS |
|
|
Machine Translation (F32)
|
100% |
631
97.3 IPS |
|
|
Machine Translation (F16)
|
100% |
631
97.3 IPS |
