Google Pixel 7 Pro
Geekbench ML Score
1888
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Betancd |
| Upload Date | October 29 2023 06:27 AM |
| Views | 4 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
474
50.8 IPS |
|
|
Image Classification (F16)
|
100% |
7459
799.2 IPS |
|
|
Image Classification (I8)
|
79% |
11050
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
591
3.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
11179
69.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
35942
222.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
453
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
5570
22.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
12142
49.1 IPS |
|
|
Object Detection (F32)
|
100% |
408
14.3 IPS |
|
|
Object Detection (F16)
|
100% |
1648
57.8 IPS |
|
|
Object Detection (I8)
|
50% |
1832
64.3 IPS |
|
|
Face Detection (F32)
|
100% |
745
8.55 IPS |
|
|
Face Detection (F16)
|
100% |
542
6.23 IPS |
|
|
Face Detection (I8)
|
75% |
26475
304.2 IPS |
|
|
Text Classification (F32)
|
100% |
88
35.0 IPS |
|
|
Text Classification (F16)
|
100% |
1097
433.9 IPS |
|
|
Machine Translation (F32)
|
100% |
696
107.3 IPS |
|
|
Machine Translation (F16)
|
100% |
698
107.6 IPS |
