Google Pixel 7 Pro
Geekbench ML Score
2229
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2022 07:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Pixel 7 Pro |
| Model ID | Google Pixel 7 Pro |
| Motherboard | cheetah |
| 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 @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 11.15 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
525
56.3 IPS |
|
|
Image Classification (F16)
|
100% |
7159
767.1 IPS |
|
|
Image Classification (I8)
|
79% |
10829
1.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
598
3.69 IPS |
|
|
Image Segmentation (F16)
|
96% |
10523
65.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
34828
215.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
452
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
5799
23.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
13487
54.6 IPS |
|
|
Object Detection (F32)
|
100% |
423
14.8 IPS |
|
|
Object Detection (F16)
|
100% |
1600
56.2 IPS |
|
|
Object Detection (I8)
|
50% |
1816
63.7 IPS |
|
|
Face Detection (F32)
|
100% |
747
8.58 IPS |
|
|
Face Detection (F16)
|
98% |
10844
124.6 IPS |
|
|
Face Detection (I8)
|
75% |
26165
300.6 IPS |
|
|
Text Classification (F32)
|
100% |
84
33.2 IPS |
|
|
Text Classification (F16)
|
100% |
1310
518.3 IPS |
|
|
Machine Translation (F32)
|
100% |
679
104.6 IPS |
|
|
Machine Translation (F16)
|
100% |
672
103.5 IPS |
