Google Pixel 6 Pro
Geekbench ML Score
317
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2021 04:09 AM |
| Views | 1 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
121
12.9 IPS |
|
|
Image Classification (F16)
|
100% |
97
10.4 IPS |
|
|
Image Classification (I8)
|
81% |
231
24.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
472
2.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
429
2.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
680
4.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
278
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
270
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
215
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
123
4.31 IPS |
|
|
Object Detection (F16)
|
100% |
128
4.49 IPS |
|
|
Object Detection (I8)
|
52% |
284
9.97 IPS |
|
|
Face Detection (F32)
|
100% |
622
7.15 IPS |
|
|
Face Detection (F16)
|
100% |
606
6.96 IPS |
|
|
Face Detection (I8)
|
75% |
482
5.54 IPS |
|
|
Text Classification (F32)
|
100% |
392
155.1 IPS |
|
|
Text Classification (F16)
|
100% |
378
149.7 IPS |
|
|
Machine Translation (F32)
|
100% |
691
106.5 IPS |
|
|
Machine Translation (F16)
|
100% |
684
105.4 IPS |
