Google Pixel 6 Pro
Geekbench ML Score
339
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2023 09:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
105
11.3 IPS |
|
|
Image Classification (F16)
|
100% |
92
9.82 IPS |
|
|
Image Classification (I8)
|
81% |
278
29.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
374
2.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
398
2.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
688
4.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
290
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
284
1.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
228
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
119
4.19 IPS |
|
|
Object Detection (F16)
|
100% |
123
4.30 IPS |
|
|
Object Detection (I8)
|
52% |
348
12.2 IPS |
|
|
Face Detection (F32)
|
100% |
407
4.67 IPS |
|
|
Face Detection (F16)
|
100% |
421
4.83 IPS |
|
|
Face Detection (I8)
|
75% |
533
6.12 IPS |
|
|
Text Classification (F32)
|
100% |
1024
404.9 IPS |
|
|
Text Classification (F16)
|
100% |
1012
400.1 IPS |
|
|
Machine Translation (F32)
|
100% |
693
106.8 IPS |
|
|
Machine Translation (F16)
|
100% |
690
106.4 IPS |
