Google Pixel 6
Geekbench ML Score
1478
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 05 2023 12:51 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
65
6.96 IPS |
|
|
Image Classification (F16)
|
100% |
5398
578.3 IPS |
|
|
Image Classification (I8)
|
79% |
9110
976.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
298
1.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
7594
46.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
29031
179.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
5416
21.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
13288
53.8 IPS |
|
|
Object Detection (F32)
|
100% |
157
5.52 IPS |
|
|
Object Detection (F16)
|
100% |
109
3.83 IPS |
|
|
Object Detection (I8)
|
50% |
1825
64.0 IPS |
|
|
Face Detection (F32)
|
100% |
214
2.45 IPS |
|
|
Face Detection (F16)
|
97% |
8273
95.0 IPS |
|
|
Face Detection (I8)
|
75% |
17020
195.5 IPS |
|
|
Text Classification (F32)
|
100% |
1011
399.8 IPS |
|
|
Text Classification (F16)
|
100% |
1002
396.5 IPS |
|
|
Machine Translation (F32)
|
100% |
693
106.8 IPS |
|
|
Machine Translation (F16)
|
100% |
686
105.7 IPS |
