Google Pixel 6 Pro
Geekbench ML Score
1387
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2023 09:23 PM |
| Views | 3 |
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% |
623
66.7 IPS |
|
|
Image Classification (F16)
|
100% |
1148
123.0 IPS |
|
|
Image Classification (I8)
|
80% |
1058
113.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2934
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5100
31.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
4633
28.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
894
3.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
2779
11.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
2720
11.0 IPS |
|
|
Object Detection (F32)
|
100% |
723
25.4 IPS |
|
|
Object Detection (F16)
|
100% |
817
28.7 IPS |
|
|
Object Detection (I8)
|
54% |
788
27.7 IPS |
|
|
Face Detection (F32)
|
100% |
1901
21.8 IPS |
|
|
Face Detection (F16)
|
97% |
2814
32.3 IPS |
|
|
Face Detection (I8)
|
75% |
2487
28.6 IPS |
|
|
Text Classification (F32)
|
100% |
566
223.8 IPS |
|
|
Text Classification (F16)
|
98% |
850
336.2 IPS |
|
|
Machine Translation (F32)
|
100% |
689
106.2 IPS |
|
|
Machine Translation (F16)
|
100% |
691
106.5 IPS |
