Google Pixel 6 Pro
Geekbench ML Score
1689
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2022 10:46 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 11.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
653
70.0 IPS |
|
|
Image Classification (F16)
|
100% |
5715
612.4 IPS |
|
|
Image Classification (I8)
|
79% |
9680
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1067
6.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
6399
39.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
25960
160.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
811
3.28 IPS |
|
|
Pose Estimation (F16)
|
80% |
4574
18.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
11274
45.6 IPS |
|
|
Object Detection (F32)
|
100% |
598
21.0 IPS |
|
|
Object Detection (F16)
|
100% |
100
3.52 IPS |
|
|
Object Detection (I8)
|
50% |
1592
55.9 IPS |
|
|
Face Detection (F32)
|
100% |
1522
17.5 IPS |
|
|
Face Detection (F16)
|
100% |
589
6.77 IPS |
|
|
Face Detection (I8)
|
75% |
15371
176.6 IPS |
|
|
Text Classification (F32)
|
100% |
165
65.4 IPS |
|
|
Text Classification (F16)
|
100% |
1082
427.9 IPS |
|
|
Machine Translation (F32)
|
100% |
582
89.6 IPS |
|
|
Machine Translation (F16)
|
100% |
580
89.3 IPS |
