Google Pixel 7 Pro
Geekbench ML Score
324
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2022 06:23 PM |
| 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% |
129
13.8 IPS |
|
|
Image Classification (F16)
|
100% |
134
14.3 IPS |
|
|
Image Classification (I8)
|
81% |
219
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
361
2.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
359
2.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
897
5.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
301
1.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
278
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
248
1.00 IPS |
|
|
Object Detection (F32)
|
100% |
158
5.55 IPS |
|
|
Object Detection (F16)
|
100% |
169
5.92 IPS |
|
|
Object Detection (I8)
|
52% |
257
9.02 IPS |
|
|
Face Detection (F32)
|
100% |
448
5.14 IPS |
|
|
Face Detection (F16)
|
100% |
455
5.23 IPS |
|
|
Face Detection (I8)
|
75% |
543
6.24 IPS |
|
|
Text Classification (F32)
|
100% |
399
157.7 IPS |
|
|
Text Classification (F16)
|
100% |
403
159.5 IPS |
|
|
Machine Translation (F32)
|
100% |
686
105.7 IPS |
|
|
Machine Translation (F16)
|
100% |
690
106.4 IPS |
