Google Pixel 6 Pro
Geekbench ML Score
1711
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2021 06:35 PM |
| Views | 2 |
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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
651
69.7 IPS |
|
|
Image Classification (F16)
|
100% |
5623
602.5 IPS |
|
|
Image Classification (I8)
|
79% |
9518
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1159
7.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
259
1.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
25757
159.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
761
3.08 IPS |
|
|
Pose Estimation (F16)
|
80% |
5346
21.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
13474
54.5 IPS |
|
|
Object Detection (F32)
|
100% |
578
20.3 IPS |
|
|
Object Detection (F16)
|
100% |
1553
54.5 IPS |
|
|
Object Detection (I8)
|
50% |
1812
63.6 IPS |
|
|
Face Detection (F32)
|
100% |
1497
17.2 IPS |
|
|
Face Detection (F16)
|
97% |
5501
63.2 IPS |
|
|
Face Detection (I8)
|
75% |
16327
187.6 IPS |
|
|
Text Classification (F32)
|
100% |
221
87.5 IPS |
|
|
Text Classification (F16)
|
100% |
83
32.7 IPS |
|
|
Machine Translation (F32)
|
100% |
675
104.1 IPS |
|
|
Machine Translation (F16)
|
100% |
678
104.4 IPS |
