Google Pixel 6 Pro
Geekbench ML Score
1715
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | nwisecup |
| Upload Date | November 01 2021 01:54 PM |
| 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% |
721
77.2 IPS |
|
|
Image Classification (F16)
|
100% |
5983
641.0 IPS |
|
|
Image Classification (I8)
|
79% |
10062
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1207
7.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
258
1.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
26121
161.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
777
3.14 IPS |
|
|
Pose Estimation (F16)
|
80% |
5375
21.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
13364
54.1 IPS |
|
|
Object Detection (F32)
|
100% |
571
20.0 IPS |
|
|
Object Detection (F16)
|
100% |
1562
54.8 IPS |
|
|
Object Detection (I8)
|
50% |
1812
63.6 IPS |
|
|
Face Detection (F32)
|
100% |
1680
19.3 IPS |
|
|
Face Detection (F16)
|
97% |
5772
66.3 IPS |
|
|
Face Detection (I8)
|
75% |
14832
170.4 IPS |
|
|
Text Classification (F32)
|
100% |
206
81.5 IPS |
|
|
Text Classification (F16)
|
100% |
73
28.8 IPS |
|
|
Machine Translation (F32)
|
100% |
642
98.9 IPS |
|
|
Machine Translation (F16)
|
100% |
641
98.8 IPS |
