Google Pixel 6a
Geekbench ML Score
1727
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2022 02:27 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Pixel 6a |
| Model ID | Google Pixel 6a |
| Motherboard | bluejay |
| 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 | 5.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
642
68.8 IPS |
|
|
Image Classification (F16)
|
100% |
4280
458.6 IPS |
|
|
Image Classification (I8)
|
79% |
7458
799.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1063
6.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
6902
42.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
26762
165.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
805
3.26 IPS |
|
|
Pose Estimation (F16)
|
80% |
5414
21.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
13058
52.8 IPS |
|
|
Object Detection (F32)
|
100% |
646
22.7 IPS |
|
|
Object Detection (F16)
|
100% |
100
3.52 IPS |
|
|
Object Detection (I8)
|
50% |
1810
63.5 IPS |
|
|
Face Detection (F32)
|
100% |
1498
17.2 IPS |
|
|
Face Detection (F16)
|
100% |
598
6.87 IPS |
|
|
Face Detection (I8)
|
75% |
15699
180.4 IPS |
|
|
Text Classification (F32)
|
100% |
150
59.2 IPS |
|
|
Text Classification (F16)
|
100% |
1189
470.3 IPS |
|
|
Machine Translation (F32)
|
100% |
673
103.8 IPS |
|
|
Machine Translation (F16)
|
100% |
716
110.3 IPS |
