Google Pixel 7 Pro
Geekbench ML Score
361
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 06:23 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
97
10.4 IPS |
|
|
Image Classification (F16)
|
100% |
97
10.4 IPS |
|
|
Image Classification (I8)
|
81% |
271
29.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
508
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
523
3.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
708
4.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
312
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
303
1.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
242
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
139
4.88 IPS |
|
|
Object Detection (F16)
|
100% |
131
4.61 IPS |
|
|
Object Detection (I8)
|
52% |
326
11.5 IPS |
|
|
Face Detection (F32)
|
100% |
554
6.36 IPS |
|
|
Face Detection (F16)
|
100% |
558
6.41 IPS |
|
|
Face Detection (I8)
|
75% |
521
5.99 IPS |
|
|
Text Classification (F32)
|
100% |
918
363.0 IPS |
|
|
Text Classification (F16)
|
100% |
919
363.4 IPS |
|
|
Machine Translation (F32)
|
100% |
672
103.6 IPS |
|
|
Machine Translation (F16)
|
100% |
672
103.6 IPS |
