Google Pixel 6 Pro
Geekbench ML Score
1605
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 27 2021 07:56 AM |
| Views | 5 |
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% |
670
71.8 IPS |
|
|
Image Classification (F16)
|
100% |
4806
514.9 IPS |
|
|
Image Classification (I8)
|
79% |
8722
934.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1190
7.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
224
1.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
22736
140.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
784
3.17 IPS |
|
|
Pose Estimation (F16)
|
80% |
4564
18.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
11479
46.4 IPS |
|
|
Object Detection (F32)
|
100% |
568
19.9 IPS |
|
|
Object Detection (F16)
|
100% |
1487
52.2 IPS |
|
|
Object Detection (I8)
|
50% |
1717
60.2 IPS |
|
|
Face Detection (F32)
|
100% |
1571
18.0 IPS |
|
|
Face Detection (F16)
|
97% |
4941
56.8 IPS |
|
|
Face Detection (I8)
|
75% |
14933
171.6 IPS |
|
|
Text Classification (F32)
|
100% |
205
81.2 IPS |
|
|
Text Classification (F16)
|
100% |
73
28.9 IPS |
|
|
Machine Translation (F32)
|
100% |
680
104.9 IPS |
|
|
Machine Translation (F16)
|
100% |
678
104.5 IPS |
