Google Pixel 6 Pro
Geekbench ML Score
331
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2021 12:16 PM |
| 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 | 11.21 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
124
13.3 IPS |
|
|
Image Classification (F16)
|
100% |
139
14.9 IPS |
|
|
Image Classification (I8)
|
81% |
231
24.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
324
2.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
436
2.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
685
4.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
285
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
269
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
226
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
166
5.82 IPS |
|
|
Object Detection (F16)
|
100% |
175
6.14 IPS |
|
|
Object Detection (I8)
|
52% |
297
10.4 IPS |
|
|
Face Detection (F32)
|
100% |
617
7.09 IPS |
|
|
Face Detection (F16)
|
100% |
620
7.13 IPS |
|
|
Face Detection (I8)
|
75% |
485
5.58 IPS |
|
|
Text Classification (F32)
|
100% |
387
153.3 IPS |
|
|
Text Classification (F16)
|
100% |
404
159.8 IPS |
|
|
Machine Translation (F32)
|
100% |
683
105.3 IPS |
|
|
Machine Translation (F16)
|
100% |
678
104.5 IPS |
