Google Pixel 6 Pro
Geekbench ML Score
1602
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 19 2022 09:13 AM |
| Views | 3 |
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% |
727
77.9 IPS |
|
|
Image Classification (F16)
|
100% |
5143
551.0 IPS |
|
|
Image Classification (I8)
|
79% |
9278
994.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1060
6.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
225
1.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
22174
137.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
790
3.20 IPS |
|
|
Pose Estimation (F16)
|
80% |
4555
18.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
11441
46.3 IPS |
|
|
Object Detection (F32)
|
100% |
589
20.7 IPS |
|
|
Object Detection (F16)
|
100% |
1217
42.7 IPS |
|
|
Object Detection (I8)
|
50% |
1368
48.0 IPS |
|
|
Face Detection (F32)
|
100% |
1739
20.0 IPS |
|
|
Face Detection (F16)
|
97% |
5315
61.1 IPS |
|
|
Face Detection (I8)
|
75% |
15786
181.4 IPS |
|
|
Text Classification (F32)
|
100% |
274
108.5 IPS |
|
|
Text Classification (F16)
|
100% |
73
29.0 IPS |
|
|
Machine Translation (F32)
|
100% |
596
91.9 IPS |
|
|
Machine Translation (F16)
|
100% |
604
93.1 IPS |
