Google Pixel 6
Geekbench ML Score
371
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 02 2023 10:50 PM |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
98
10.5 IPS |
|
|
Image Classification (F16)
|
100% |
97
10.4 IPS |
|
|
Image Classification (I8)
|
81% |
282
30.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
491
3.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
453
2.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
742
4.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
306
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
291
1.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
184
6.44 IPS |
|
|
Object Detection (F16)
|
100% |
136
4.79 IPS |
|
|
Object Detection (I8)
|
52% |
343
12.1 IPS |
|
|
Face Detection (F32)
|
100% |
610
7.00 IPS |
|
|
Face Detection (F16)
|
100% |
574
6.59 IPS |
|
|
Face Detection (I8)
|
75% |
542
6.22 IPS |
|
|
Text Classification (F32)
|
100% |
991
391.8 IPS |
|
|
Text Classification (F16)
|
100% |
958
378.8 IPS |
|
|
Machine Translation (F32)
|
100% |
690
106.3 IPS |
|
|
Machine Translation (F16)
|
100% |
693
106.8 IPS |
