Google Pixel 6 Pro
Geekbench ML Score
332
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 14 2022 10:28 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 | 11.27 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% |
117
12.5 IPS |
|
|
Image Classification (I8)
|
81% |
237
25.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
279
1.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
498
3.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
799
4.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
258
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
244
0.99 IPS |
|
|
Pose Estimation (I8)
|
80% |
242
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
140
4.93 IPS |
|
|
Object Detection (F16)
|
100% |
138
4.85 IPS |
|
|
Object Detection (I8)
|
52% |
323
11.3 IPS |
|
|
Face Detection (F32)
|
100% |
623
7.16 IPS |
|
|
Face Detection (F16)
|
100% |
604
6.94 IPS |
|
|
Face Detection (I8)
|
75% |
538
6.18 IPS |
|
|
Text Classification (F32)
|
100% |
518
205.0 IPS |
|
|
Text Classification (F16)
|
100% |
500
197.7 IPS |
|
|
Machine Translation (F32)
|
100% |
670
103.3 IPS |
|
|
Machine Translation (F16)
|
100% |
677
104.3 IPS |
