Google Pixel 7 Pro
Geekbench ML Score
345
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2023 11:01 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.20 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
98
10.5 IPS |
|
|
Image Classification (F16)
|
100% |
79
8.48 IPS |
|
|
Image Classification (I8)
|
81% |
262
28.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
476
2.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
489
3.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
718
4.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
288
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
280
1.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
220
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
142
5.00 IPS |
|
|
Object Detection (F16)
|
100% |
121
4.24 IPS |
|
|
Object Detection (I8)
|
52% |
318
11.2 IPS |
|
|
Face Detection (F32)
|
100% |
571
6.56 IPS |
|
|
Face Detection (F16)
|
100% |
535
6.14 IPS |
|
|
Face Detection (I8)
|
75% |
505
5.80 IPS |
|
|
Text Classification (F32)
|
100% |
871
344.3 IPS |
|
|
Text Classification (F16)
|
100% |
859
339.9 IPS |
|
|
Machine Translation (F32)
|
100% |
670
103.3 IPS |
|
|
Machine Translation (F16)
|
100% |
659
101.5 IPS |
