Google Pixel 7 Pro
Geekbench ML Score
931
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 11 2023 07:53 AM |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
452
48.4 IPS |
|
|
Image Classification (F16)
|
100% |
533
57.1 IPS |
|
|
Image Classification (I8)
|
81% |
430
46.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2006
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3660
22.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
3661
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
730
2.95 IPS |
|
|
Pose Estimation (F16)
|
0% |
2104
8.51 IPS |
|
|
Pose Estimation (I8)
|
0% |
2117
8.57 IPS |
|
|
Object Detection (F32)
|
100% |
435
15.3 IPS |
|
|
Object Detection (F16)
|
99% |
561
19.7 IPS |
|
|
Object Detection (I8)
|
54% |
599
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
1396
16.0 IPS |
|
|
Face Detection (F16)
|
97% |
2232
25.6 IPS |
|
|
Face Detection (I8)
|
75% |
2163
24.9 IPS |
|
|
Text Classification (F32)
|
100% |
223
88.2 IPS |
|
|
Text Classification (F16)
|
46% |
285
112.8 IPS |
|
|
Machine Translation (F32)
|
100% |
675
104.0 IPS |
|
|
Machine Translation (F16)
|
100% |
674
103.9 IPS |
