Google Pixel 7 Pro
Geekbench ML Score
364
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 14 2023 08:59 PM |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
95
10.2 IPS |
|
|
Image Classification (F16)
|
100% |
89
9.54 IPS |
|
|
Image Classification (I8)
|
81% |
277
29.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
538
3.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
509
3.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
695
4.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
318
1.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
309
1.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
204
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
152
5.32 IPS |
|
|
Object Detection (F16)
|
100% |
136
4.77 IPS |
|
|
Object Detection (I8)
|
52% |
331
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
580
6.67 IPS |
|
|
Face Detection (F16)
|
100% |
567
6.51 IPS |
|
|
Face Detection (I8)
|
75% |
519
5.96 IPS |
|
|
Text Classification (F32)
|
100% |
979
387.1 IPS |
|
|
Text Classification (F16)
|
100% |
950
375.9 IPS |
|
|
Machine Translation (F32)
|
100% |
697
107.4 IPS |
|
|
Machine Translation (F16)
|
100% |
694
107.0 IPS |
