Google Pixel 6
Geekbench ML Score
1857
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | mchus |
| Upload Date | August 13 2023 09:01 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
751
80.5 IPS |
|
|
Image Classification (F16)
|
100% |
5678
608.4 IPS |
|
|
Image Classification (I8)
|
79% |
9546
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1112
6.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
6794
42.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
28538
176.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
865
3.50 IPS |
|
|
Pose Estimation (F16)
|
80% |
5294
21.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
12489
50.5 IPS |
|
|
Object Detection (F32)
|
100% |
659
23.1 IPS |
|
|
Object Detection (F16)
|
100% |
119
4.17 IPS |
|
|
Object Detection (I8)
|
50% |
1802
63.2 IPS |
|
|
Face Detection (F32)
|
100% |
1622
18.6 IPS |
|
|
Face Detection (F16)
|
100% |
573
6.58 IPS |
|
|
Face Detection (I8)
|
75% |
16878
193.9 IPS |
|
|
Text Classification (F32)
|
100% |
228
90.1 IPS |
|
|
Text Classification (F16)
|
100% |
1097
433.7 IPS |
|
|
Machine Translation (F32)
|
100% |
678
104.4 IPS |
|
|
Machine Translation (F16)
|
100% |
679
104.6 IPS |
