Google Pixel 7 Pro
Geekbench ML Score
2047
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 25 2024 05:23 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% |
211
39.5 IPS |
|
|
Image Classification (F16)
|
100% |
5742
1.07 KIPS |
|
|
Image Classification (I8)
|
99% |
8039
1.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
269
4.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
5559
92.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
9210
153.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
364
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
20130
24.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
36185
43.8 IPS |
|
|
Object Detection (F32)
|
100% |
219
16.4 IPS |
|
|
Object Detection (F16)
|
100% |
3005
224.3 IPS |
|
|
Object Detection (I8)
|
65% |
3601
268.8 IPS |
|
|
Face Detection (F32)
|
100% |
499
5.93 IPS |
|
|
Face Detection (F16)
|
100% |
501
5.95 IPS |
|
|
Face Detection (I8)
|
87% |
31301
372.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
408
3.17 IPS |
|
|
Depth Estimation (F16)
|
100% |
23083
179.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
39953
309.8 IPS |
|
|
Style Transfer (F32)
|
100% |
672
0.88 IPS |
|
|
Style Transfer (F16)
|
100% |
1615
2.12 IPS |
|
|
Style Transfer (I8)
|
28% |
3125
4.11 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
219
7.82 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6789
242.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
15133
540.4 IPS |
|
|
Text Classification (F32)
|
100% |
283
406.7 IPS |
|
|
Text Classification (F16)
|
100% |
1990
2.86 KIPS |
|
|
Text Classification (I8)
|
94% |
2190
3.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
469
8.64 IPS |
|
|
Machine Translation (F16)
|
100% |
461
8.48 IPS |
|
|
Machine Translation (I8)
|
64% |
430
7.92 IPS |
