Google Pixel 6 Pro
Geekbench ML Score
1413
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 17 2023 08:58 AM |
| Views | 1 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1059
113.5 IPS |
|
|
Image Classification (F16)
|
100% |
1287
137.9 IPS |
|
|
Image Classification (I8)
|
80% |
1127
120.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2932
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5111
31.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
4429
27.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
901
3.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
2810
11.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
2790
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
605
21.2 IPS |
|
|
Object Detection (F16)
|
100% |
826
29.0 IPS |
|
|
Object Detection (I8)
|
54% |
824
28.9 IPS |
|
|
Face Detection (F32)
|
100% |
2015
23.1 IPS |
|
|
Face Detection (F16)
|
97% |
2929
33.6 IPS |
|
|
Face Detection (I8)
|
75% |
2489
28.6 IPS |
|
|
Text Classification (F32)
|
100% |
469
185.5 IPS |
|
|
Text Classification (F16)
|
98% |
760
300.4 IPS |
|
|
Machine Translation (F32)
|
100% |
682
105.1 IPS |
|
|
Machine Translation (F16)
|
100% |
681
105.0 IPS |
