Google Pixel 6 Pro
Geekbench ML Score
1659
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2021 07:24 AM |
| Views | 4 |
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% |
637
68.3 IPS |
|
|
Image Classification (F16)
|
100% |
5430
581.8 IPS |
|
|
Image Classification (I8)
|
79% |
10208
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1169
7.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
260
1.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
26185
161.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
762
3.08 IPS |
|
|
Pose Estimation (F16)
|
80% |
5392
21.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
13399
54.2 IPS |
|
|
Object Detection (F32)
|
100% |
603
21.2 IPS |
|
|
Object Detection (F16)
|
100% |
1440
50.5 IPS |
|
|
Object Detection (I8)
|
50% |
1555
54.6 IPS |
|
|
Face Detection (F32)
|
100% |
1720
19.8 IPS |
|
|
Face Detection (F16)
|
97% |
5729
65.8 IPS |
|
|
Face Detection (I8)
|
75% |
17264
198.3 IPS |
|
|
Text Classification (F32)
|
100% |
158
62.7 IPS |
|
|
Text Classification (F16)
|
100% |
83
32.9 IPS |
|
|
Machine Translation (F32)
|
100% |
570
87.9 IPS |
|
|
Machine Translation (F16)
|
100% |
569
87.7 IPS |
