Google Pixel 7 Pro
Geekbench ML Score
1867
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 09 2023 09:29 AM |
| Views | 2 |
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% |
480
51.4 IPS |
|
|
Image Classification (F16)
|
100% |
7010
751.1 IPS |
|
|
Image Classification (I8)
|
79% |
10960
1.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
571
3.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
10707
66.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
33833
209.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
452
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
5653
22.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
12295
49.7 IPS |
|
|
Object Detection (F32)
|
100% |
410
14.4 IPS |
|
|
Object Detection (F16)
|
100% |
1612
56.6 IPS |
|
|
Object Detection (I8)
|
50% |
1795
63.0 IPS |
|
|
Face Detection (F32)
|
100% |
786
9.03 IPS |
|
|
Face Detection (F16)
|
100% |
530
6.09 IPS |
|
|
Face Detection (I8)
|
75% |
26451
303.9 IPS |
|
|
Text Classification (F32)
|
100% |
89
35.1 IPS |
|
|
Text Classification (F16)
|
100% |
1066
421.5 IPS |
|
|
Machine Translation (F32)
|
100% |
693
106.8 IPS |
|
|
Machine Translation (F16)
|
100% |
693
106.8 IPS |
