Google Pixel 6 Pro
Geekbench ML Score
318
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 02 2022 05:37 PM |
| Views | 4 |
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% |
139
14.9 IPS |
|
|
Image Classification (F16)
|
100% |
101
10.8 IPS |
|
|
Image Classification (I8)
|
81% |
279
29.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
358
2.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
384
2.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
886
5.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
262
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
238
0.96 IPS |
|
|
Pose Estimation (I8)
|
80% |
228
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
138
4.83 IPS |
|
|
Object Detection (F16)
|
100% |
163
5.71 IPS |
|
|
Object Detection (I8)
|
52% |
325
11.4 IPS |
|
|
Face Detection (F32)
|
100% |
457
5.25 IPS |
|
|
Face Detection (F16)
|
100% |
456
5.24 IPS |
|
|
Face Detection (I8)
|
75% |
528
6.06 IPS |
|
|
Text Classification (F32)
|
100% |
435
172.1 IPS |
|
|
Text Classification (F16)
|
100% |
385
152.3 IPS |
|
|
Machine Translation (F32)
|
100% |
633
97.5 IPS |
|
|
Machine Translation (F16)
|
100% |
632
97.4 IPS |
