Google Pixel 7 Pro
Geekbench ML Score
379
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 30 2023 09:02 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 | 11.15 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
167
17.9 IPS |
|
|
Image Classification (F16)
|
100% |
146
15.7 IPS |
|
|
Image Classification (I8)
|
81% |
258
27.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
478
2.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
466
2.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
755
4.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
272
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
274
1.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
231
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
171
5.99 IPS |
|
|
Object Detection (F16)
|
100% |
180
6.32 IPS |
|
|
Object Detection (I8)
|
52% |
318
11.2 IPS |
|
|
Face Detection (F32)
|
100% |
537
6.17 IPS |
|
|
Face Detection (F16)
|
100% |
537
6.17 IPS |
|
|
Face Detection (I8)
|
75% |
528
6.06 IPS |
|
|
Text Classification (F32)
|
100% |
910
359.9 IPS |
|
|
Text Classification (F16)
|
100% |
922
364.8 IPS |
|
|
Machine Translation (F32)
|
100% |
650
100.2 IPS |
|
|
Machine Translation (F16)
|
100% |
679
104.6 IPS |
