Google Pixel 7 Pro
Geekbench ML Score
2118
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 27 2023 12:47 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 | 11.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
477
51.1 IPS |
|
|
Image Classification (F16)
|
100% |
6501
696.5 IPS |
|
|
Image Classification (I8)
|
79% |
9569
1.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
590
3.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
10341
63.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
29703
183.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
450
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
5641
22.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
12622
51.1 IPS |
|
|
Object Detection (F32)
|
100% |
416
14.6 IPS |
|
|
Object Detection (F16)
|
100% |
1565
54.9 IPS |
|
|
Object Detection (I8)
|
50% |
1806
63.4 IPS |
|
|
Face Detection (F32)
|
100% |
806
9.26 IPS |
|
|
Face Detection (F16)
|
98% |
11048
126.9 IPS |
|
|
Face Detection (I8)
|
75% |
21871
251.3 IPS |
|
|
Text Classification (F32)
|
100% |
78
30.7 IPS |
|
|
Text Classification (F16)
|
100% |
1061
419.6 IPS |
|
|
Machine Translation (F32)
|
100% |
690
106.3 IPS |
|
|
Machine Translation (F16)
|
100% |
694
106.9 IPS |
