Google Pixel 6 Pro
Geekbench ML Score
1881
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 14 2022 08:37 PM |
| Views | 2 |
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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
724
77.6 IPS |
|
|
Image Classification (F16)
|
100% |
5920
634.3 IPS |
|
|
Image Classification (I8)
|
79% |
10242
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1078
6.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
7210
44.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
30539
188.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
827
3.35 IPS |
|
|
Pose Estimation (F16)
|
80% |
5489
22.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
13647
55.2 IPS |
|
|
Object Detection (F32)
|
100% |
608
21.3 IPS |
|
|
Object Detection (F16)
|
100% |
133
4.65 IPS |
|
|
Object Detection (I8)
|
50% |
1876
65.9 IPS |
|
|
Face Detection (F32)
|
100% |
1477
17.0 IPS |
|
|
Face Detection (F16)
|
100% |
540
6.21 IPS |
|
|
Face Detection (I8)
|
75% |
18782
215.8 IPS |
|
|
Text Classification (F32)
|
100% |
190
75.2 IPS |
|
|
Text Classification (F16)
|
100% |
1176
465.1 IPS |
|
|
Machine Translation (F32)
|
100% |
702
108.2 IPS |
|
|
Machine Translation (F16)
|
100% |
712
109.7 IPS |
