Google Pixel 6
Geekbench ML Score
327
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2022 06:24 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| 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 | 7.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
133
14.3 IPS |
|
|
Image Classification (F16)
|
100% |
121
13.0 IPS |
|
|
Image Classification (I8)
|
81% |
217
23.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
438
2.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
414
2.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
704
4.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
241
0.98 IPS |
|
|
Pose Estimation (I8)
|
80% |
244
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
203
7.13 IPS |
|
|
Object Detection (F16)
|
100% |
193
6.76 IPS |
|
|
Object Detection (I8)
|
52% |
315
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
462
5.31 IPS |
|
|
Face Detection (F16)
|
100% |
481
5.53 IPS |
|
|
Face Detection (I8)
|
75% |
493
5.67 IPS |
|
|
Text Classification (F32)
|
100% |
374
147.9 IPS |
|
|
Text Classification (F16)
|
100% |
394
156.0 IPS |
|
|
Machine Translation (F32)
|
100% |
671
103.4 IPS |
|
|
Machine Translation (F16)
|
100% |
675
104.1 IPS |
