Google Pixel 7 Pro
Geekbench ML Score
372
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2023 12:06 AM |
| 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 | 11.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
108
11.6 IPS |
|
|
Image Classification (F16)
|
100% |
105
11.3 IPS |
|
|
Image Classification (I8)
|
81% |
273
29.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
516
3.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
518
3.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
685
4.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
316
1.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
313
1.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
136
4.78 IPS |
|
|
Object Detection (F16)
|
100% |
171
6.00 IPS |
|
|
Object Detection (I8)
|
52% |
323
11.3 IPS |
|
|
Face Detection (F32)
|
100% |
603
6.92 IPS |
|
|
Face Detection (F16)
|
100% |
586
6.73 IPS |
|
|
Face Detection (I8)
|
75% |
532
6.11 IPS |
|
|
Text Classification (F32)
|
100% |
903
357.2 IPS |
|
|
Text Classification (F16)
|
100% |
904
357.4 IPS |
|
|
Machine Translation (F32)
|
100% |
677
104.4 IPS |
|
|
Machine Translation (F16)
|
100% |
680
104.7 IPS |
