Google Pixel 6 Pro
Geekbench ML Score
1738
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2022 12:22 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% |
662
70.9 IPS |
|
|
Image Classification (F16)
|
100% |
5846
626.4 IPS |
|
|
Image Classification (I8)
|
79% |
9739
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1037
6.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
7265
44.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
29592
182.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
832
3.37 IPS |
|
|
Pose Estimation (F16)
|
80% |
5420
21.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
11444
46.3 IPS |
|
|
Object Detection (F32)
|
100% |
605
21.2 IPS |
|
|
Object Detection (F16)
|
100% |
107
3.76 IPS |
|
|
Object Detection (I8)
|
50% |
1601
56.2 IPS |
|
|
Face Detection (F32)
|
100% |
1443
16.6 IPS |
|
|
Face Detection (F16)
|
100% |
574
6.59 IPS |
|
|
Face Detection (I8)
|
75% |
15452
177.5 IPS |
|
|
Text Classification (F32)
|
100% |
148
58.7 IPS |
|
|
Text Classification (F16)
|
100% |
1077
426.0 IPS |
|
|
Machine Translation (F32)
|
100% |
630
97.0 IPS |
|
|
Machine Translation (F16)
|
100% |
635
97.9 IPS |
