Google Pixel 8 Pro
Geekbench ML Score
2554
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| User | ronitroyri |
| Upload Date | June 11 2024 07:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 11.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
274
51.2 IPS |
|
|
Image Classification (F16)
|
100% |
3247
607.6 IPS |
|
|
Image Classification (I8)
|
99% |
4794
897.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
340
5.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
9858
164.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
21622
361.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
423
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
29941
36.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
59487
72.0 IPS |
|
|
Object Detection (F32)
|
100% |
284
21.2 IPS |
|
|
Object Detection (F16)
|
100% |
2866
214.0 IPS |
|
|
Object Detection (I8)
|
65% |
2952
220.4 IPS |
|
|
Face Detection (F32)
|
100% |
649
7.71 IPS |
|
|
Face Detection (F16)
|
98% |
15521
184.5 IPS |
|
|
Face Detection (I8)
|
87% |
28377
337.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
571
4.43 IPS |
|
|
Depth Estimation (F16)
|
100% |
29983
232.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
43430
336.8 IPS |
|
|
Style Transfer (F32)
|
100% |
838
1.10 IPS |
|
|
Style Transfer (F16)
|
100% |
2011
2.64 IPS |
|
|
Style Transfer (I8)
|
28% |
3490
4.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
328
11.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10485
374.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
18536
662.0 IPS |
|
|
Text Classification (F32)
|
100% |
396
568.5 IPS |
|
|
Text Classification (F16)
|
100% |
695
999.0 IPS |
|
|
Text Classification (I8)
|
94% |
655
941.6 IPS |
|
|
Machine Translation (F32)
|
100% |
615
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
604
11.1 IPS |
|
|
Machine Translation (I8)
|
64% |
555
10.2 IPS |
