Google Pixel 6 Pro
Geekbench ML Score
1023
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2022 08:55 AM |
| 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 | 11.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
751
80.4 IPS |
|
|
Image Classification (F16)
|
100% |
1148
123.0 IPS |
|
|
Image Classification (I8)
|
80% |
1105
118.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2833
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3023
18.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
2979
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
584
2.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
1615
6.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
1628
6.59 IPS |
|
|
Object Detection (F32)
|
100% |
409
14.4 IPS |
|
|
Object Detection (F16)
|
100% |
626
22.0 IPS |
|
|
Object Detection (I8)
|
54% |
644
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
1521
17.5 IPS |
|
|
Face Detection (F16)
|
97% |
2582
29.7 IPS |
|
|
Face Detection (I8)
|
75% |
2301
26.4 IPS |
|
|
Text Classification (F32)
|
100% |
429
169.8 IPS |
|
|
Text Classification (F16)
|
98% |
568
224.5 IPS |
|
|
Machine Translation (F32)
|
100% |
344
53.0 IPS |
|
|
Machine Translation (F16)
|
100% |
334
51.5 IPS |
