Google Pixel 6 Pro
Geekbench ML Score
1386
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2021 12:56 PM |
| Views | 4 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1051
112.6 IPS |
|
|
Image Classification (F16)
|
100% |
1372
147.0 IPS |
|
|
Image Classification (I8)
|
80% |
1058
113.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2804
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4745
29.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
4742
29.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
814
3.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
2792
11.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
2836
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
540
19.0 IPS |
|
|
Object Detection (F16)
|
100% |
759
26.6 IPS |
|
|
Object Detection (I8)
|
54% |
737
25.9 IPS |
|
|
Face Detection (F32)
|
100% |
2105
24.2 IPS |
|
|
Face Detection (F16)
|
97% |
3102
35.6 IPS |
|
|
Face Detection (I8)
|
75% |
2860
32.9 IPS |
|
|
Text Classification (F32)
|
100% |
500
197.7 IPS |
|
|
Text Classification (F16)
|
98% |
619
244.7 IPS |
|
|
Machine Translation (F32)
|
100% |
680
104.8 IPS |
|
|
Machine Translation (F16)
|
100% |
675
104.0 IPS |
