Google Pixel 7 Pro
Geekbench ML Score
373
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 01 2023 01:44 PM |
| Views | 1 |
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 | 11.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
159
17.1 IPS |
|
|
Image Classification (F16)
|
100% |
164
17.6 IPS |
|
|
Image Classification (I8)
|
81% |
233
24.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
522
3.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
520
3.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
653
4.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
265
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
259
1.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
200
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
231
8.10 IPS |
|
|
Object Detection (F16)
|
100% |
227
7.96 IPS |
|
|
Object Detection (I8)
|
52% |
293
10.3 IPS |
|
|
Face Detection (F32)
|
100% |
478
5.50 IPS |
|
|
Face Detection (F16)
|
100% |
510
5.86 IPS |
|
|
Face Detection (I8)
|
75% |
468
5.38 IPS |
|
|
Text Classification (F32)
|
100% |
830
328.3 IPS |
|
|
Text Classification (F16)
|
100% |
830
328.1 IPS |
|
|
Machine Translation (F32)
|
100% |
647
99.7 IPS |
|
|
Machine Translation (F16)
|
100% |
648
99.8 IPS |
