Google Pixel 6
Geekbench ML Score
1403
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | mchus |
| Upload Date | August 13 2023 09:02 AM |
| Views | 2 |
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 | 7.41 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
756
81.0 IPS |
|
|
Image Classification (F16)
|
100% |
1137
121.8 IPS |
|
|
Image Classification (I8)
|
80% |
1066
114.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2965
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
5112
31.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
4937
30.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
926
3.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
2841
11.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
2797
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
542
19.0 IPS |
|
|
Object Detection (F16)
|
100% |
815
28.6 IPS |
|
|
Object Detection (I8)
|
54% |
783
27.5 IPS |
|
|
Face Detection (F32)
|
100% |
2025
23.3 IPS |
|
|
Face Detection (F16)
|
97% |
3224
37.0 IPS |
|
|
Face Detection (I8)
|
75% |
2680
30.8 IPS |
|
|
Text Classification (F32)
|
100% |
614
242.7 IPS |
|
|
Text Classification (F16)
|
98% |
720
284.8 IPS |
|
|
Machine Translation (F32)
|
100% |
685
105.5 IPS |
|
|
Machine Translation (F16)
|
100% |
682
105.1 IPS |
