Google Pixel 7 Pro
Geekbench ML Score
293
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2023 12:40 PM |
| Views | 3 |
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% |
118
12.6 IPS |
|
|
Image Classification (F16)
|
100% |
119
12.8 IPS |
|
|
Image Classification (I8)
|
81% |
261
28.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
478
2.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
530
3.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
607
3.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
275
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
229
0.93 IPS |
|
|
Pose Estimation (I8)
|
80% |
187
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
132
4.63 IPS |
|
|
Object Detection (F16)
|
100% |
158
5.54 IPS |
|
|
Object Detection (I8)
|
52% |
274
9.61 IPS |
|
|
Face Detection (F32)
|
100% |
476
5.47 IPS |
|
|
Face Detection (F16)
|
100% |
402
4.62 IPS |
|
|
Face Detection (I8)
|
75% |
373
4.28 IPS |
|
|
Text Classification (F32)
|
100% |
416
164.4 IPS |
|
|
Text Classification (F16)
|
100% |
426
168.7 IPS |
|
|
Machine Translation (F32)
|
100% |
408
62.8 IPS |
|
|
Machine Translation (F16)
|
100% |
401
61.8 IPS |
