Google Pixel 6
Geekbench ML Score
1878
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 02 2023 11:08 PM |
| Views | 3 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
747
80.1 IPS |
|
|
Image Classification (F16)
|
100% |
5768
618.0 IPS |
|
|
Image Classification (I8)
|
79% |
9566
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1119
6.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
6979
43.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
28076
173.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
849
3.44 IPS |
|
|
Pose Estimation (F16)
|
80% |
5389
21.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
12071
48.8 IPS |
|
|
Object Detection (F32)
|
100% |
760
26.7 IPS |
|
|
Object Detection (F16)
|
100% |
116
4.06 IPS |
|
|
Object Detection (I8)
|
50% |
1829
64.2 IPS |
|
|
Face Detection (F32)
|
100% |
1523
17.5 IPS |
|
|
Face Detection (F16)
|
100% |
587
6.74 IPS |
|
|
Face Detection (I8)
|
75% |
17177
197.3 IPS |
|
|
Text Classification (F32)
|
100% |
230
90.9 IPS |
|
|
Text Classification (F16)
|
100% |
1145
453.0 IPS |
|
|
Machine Translation (F32)
|
100% |
692
106.7 IPS |
|
|
Machine Translation (F16)
|
100% |
710
109.4 IPS |
