Google Pixel 7 Pro
Geekbench ML Score
2092
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 12:09 PM |
| Views | 1 |
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 | 11.20 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
223
41.8 IPS |
|
|
Image Classification (F16)
|
100% |
5593
1.05 KIPS |
|
|
Image Classification (I8)
|
99% |
8933
1.67 KIPS |
|
|
Image Segmentation (F32)
|
100% |
283
4.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
5383
89.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
9416
157.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
369
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
20149
24.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
37341
45.2 IPS |
|
|
Object Detection (F32)
|
100% |
231
17.2 IPS |
|
|
Object Detection (F16)
|
100% |
3202
239.0 IPS |
|
|
Object Detection (I8)
|
65% |
3876
289.4 IPS |
|
|
Face Detection (F32)
|
100% |
525
6.24 IPS |
|
|
Face Detection (F16)
|
100% |
518
6.16 IPS |
|
|
Face Detection (I8)
|
87% |
31587
375.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
456
3.54 IPS |
|
|
Depth Estimation (F16)
|
100% |
23234
180.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
39919
309.6 IPS |
|
|
Style Transfer (F32)
|
100% |
725
0.95 IPS |
|
|
Style Transfer (F16)
|
100% |
1683
2.21 IPS |
|
|
Style Transfer (I8)
|
28% |
3243
4.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
241
8.61 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4547
162.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
15016
536.3 IPS |
|
|
Text Classification (F32)
|
100% |
310
445.4 IPS |
|
|
Text Classification (F16)
|
100% |
1807
2.60 KIPS |
|
|
Text Classification (I8)
|
94% |
2265
3.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
498
9.17 IPS |
|
|
Machine Translation (F16)
|
100% |
489
9.01 IPS |
|
|
Machine Translation (I8)
|
64% |
449
8.27 IPS |
