Google Pixel 7 Pro
Geekbench ML Score
346
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 07 2023 11:11 AM |
| 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% |
99
10.6 IPS |
|
|
Image Classification (F16)
|
100% |
103
11.0 IPS |
|
|
Image Classification (I8)
|
81% |
258
27.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
441
2.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
426
2.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
684
4.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
304
1.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
302
1.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
210
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
129
4.52 IPS |
|
|
Object Detection (F16)
|
100% |
132
4.64 IPS |
|
|
Object Detection (I8)
|
52% |
312
11.0 IPS |
|
|
Face Detection (F32)
|
100% |
469
5.39 IPS |
|
|
Face Detection (F16)
|
100% |
546
6.28 IPS |
|
|
Face Detection (I8)
|
75% |
513
5.89 IPS |
|
|
Text Classification (F32)
|
100% |
923
365.1 IPS |
|
|
Text Classification (F16)
|
100% |
919
363.4 IPS |
|
|
Machine Translation (F32)
|
100% |
689
106.3 IPS |
|
|
Machine Translation (F16)
|
100% |
686
105.8 IPS |
