Google Pixel 7 Pro
Geekbench ML Score
1756
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 29 2023 08:22 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 | 11.17 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
481
51.6 IPS |
|
|
Image Classification (F16)
|
100% |
6334
678.6 IPS |
|
|
Image Classification (I8)
|
79% |
9542
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
569
3.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
9540
58.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
29056
179.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
452
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
4526
18.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
9948
40.3 IPS |
|
|
Object Detection (F32)
|
100% |
409
14.4 IPS |
|
|
Object Detection (F16)
|
100% |
1500
52.6 IPS |
|
|
Object Detection (I8)
|
50% |
1709
60.0 IPS |
|
|
Face Detection (F32)
|
100% |
778
8.94 IPS |
|
|
Face Detection (F16)
|
100% |
518
5.95 IPS |
|
|
Face Detection (I8)
|
75% |
22563
259.2 IPS |
|
|
Text Classification (F32)
|
100% |
107
42.4 IPS |
|
|
Text Classification (F16)
|
100% |
1031
407.7 IPS |
|
|
Machine Translation (F32)
|
100% |
672
103.6 IPS |
|
|
Machine Translation (F16)
|
100% |
675
104.0 IPS |
