Google Pixel 6 Pro
Geekbench ML Score
1585
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2021 03:55 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| 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 | 11.21 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
674
72.2 IPS |
|
|
Image Classification (F16)
|
100% |
4911
526.2 IPS |
|
|
Image Classification (I8)
|
79% |
8981
962.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1129
6.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
224
1.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
22738
140.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
764
3.09 IPS |
|
|
Pose Estimation (F16)
|
80% |
4559
18.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
11408
46.2 IPS |
|
|
Object Detection (F32)
|
100% |
635
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
1419
49.8 IPS |
|
|
Object Detection (I8)
|
50% |
1617
56.7 IPS |
|
|
Face Detection (F32)
|
100% |
1626
18.7 IPS |
|
|
Face Detection (F16)
|
97% |
5252
60.3 IPS |
|
|
Face Detection (I8)
|
75% |
15389
176.8 IPS |
|
|
Text Classification (F32)
|
100% |
162
64.3 IPS |
|
|
Text Classification (F16)
|
100% |
73
28.7 IPS |
|
|
Machine Translation (F32)
|
100% |
642
98.9 IPS |
|
|
Machine Translation (F16)
|
100% |
642
98.9 IPS |
