Google Pixel 7 Pro
Geekbench ML Score
327
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 05 2023 05:46 AM |
| Views | 2 |
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% |
134
14.4 IPS |
|
|
Image Classification (F16)
|
100% |
134
14.4 IPS |
|
|
Image Classification (I8)
|
81% |
198
21.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
399
2.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
381
2.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
890
5.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
305
1.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
297
1.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
250
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
178
6.24 IPS |
|
|
Object Detection (F16)
|
100% |
160
5.61 IPS |
|
|
Object Detection (I8)
|
52% |
267
9.38 IPS |
|
|
Face Detection (F32)
|
100% |
443
5.09 IPS |
|
|
Face Detection (F16)
|
100% |
447
5.14 IPS |
|
|
Face Detection (I8)
|
75% |
545
6.26 IPS |
|
|
Text Classification (F32)
|
100% |
390
154.3 IPS |
|
|
Text Classification (F16)
|
100% |
378
149.6 IPS |
|
|
Machine Translation (F32)
|
100% |
685
105.5 IPS |
|
|
Machine Translation (F16)
|
100% |
687
105.8 IPS |
