Google Pixel 7 Pro
Geekbench ML Score
919
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 04 2023 02:14 AM |
| Views | 6 |
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% |
415
44.4 IPS |
|
|
Image Classification (F16)
|
100% |
479
51.3 IPS |
|
|
Image Classification (I8)
|
81% |
450
48.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2017
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3676
22.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
3723
23.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
725
2.93 IPS |
|
|
Pose Estimation (F16)
|
0% |
2123
8.59 IPS |
|
|
Pose Estimation (I8)
|
0% |
2136
8.64 IPS |
|
|
Object Detection (F32)
|
100% |
433
15.2 IPS |
|
|
Object Detection (F16)
|
99% |
560
19.7 IPS |
|
|
Object Detection (I8)
|
54% |
533
18.7 IPS |
|
|
Face Detection (F32)
|
100% |
1391
16.0 IPS |
|
|
Face Detection (F16)
|
97% |
2100
24.1 IPS |
|
|
Face Detection (I8)
|
75% |
2213
25.4 IPS |
|
|
Text Classification (F32)
|
100% |
223
88.2 IPS |
|
|
Text Classification (F16)
|
46% |
288
113.8 IPS |
|
|
Machine Translation (F32)
|
100% |
685
105.5 IPS |
|
|
Machine Translation (F16)
|
100% |
684
105.4 IPS |
