Google Pixel 6 Pro
Geekbench ML Score
315
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2022 05:45 AM |
| Views | 1 |
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% |
121
12.9 IPS |
|
|
Image Classification (F16)
|
100% |
112
12.0 IPS |
|
|
Image Classification (I8)
|
81% |
281
30.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
368
2.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
343
2.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
900
5.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
263
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
248
1.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
232
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
135
4.73 IPS |
|
|
Object Detection (F16)
|
100% |
137
4.80 IPS |
|
|
Object Detection (I8)
|
52% |
312
11.0 IPS |
|
|
Face Detection (F32)
|
100% |
444
5.10 IPS |
|
|
Face Detection (F16)
|
100% |
451
5.18 IPS |
|
|
Face Detection (I8)
|
75% |
591
6.79 IPS |
|
|
Text Classification (F32)
|
100% |
383
151.4 IPS |
|
|
Text Classification (F16)
|
100% |
387
153.1 IPS |
|
|
Machine Translation (F32)
|
100% |
679
104.6 IPS |
|
|
Machine Translation (F16)
|
100% |
689
106.2 IPS |
