Google Pixel 8 Pro
Geekbench ML Score
2656
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 27 2024 08:41 AM |
| Views | 1 |
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% |
270
50.5 IPS |
|
|
Image Classification (F16)
|
100% |
4495
841.2 IPS |
|
|
Image Classification (I8)
|
99% |
7050
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
320
5.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
8042
134.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
23531
393.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
413
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
30151
36.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
61121
74.0 IPS |
|
|
Object Detection (F32)
|
100% |
262
19.6 IPS |
|
|
Object Detection (F16)
|
100% |
2923
218.2 IPS |
|
|
Object Detection (I8)
|
65% |
3578
267.1 IPS |
|
|
Face Detection (F32)
|
100% |
604
7.18 IPS |
|
|
Face Detection (F16)
|
98% |
17074
203.0 IPS |
|
|
Face Detection (I8)
|
87% |
32168
382.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
538
4.17 IPS |
|
|
Depth Estimation (F16)
|
100% |
30025
232.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
43449
336.9 IPS |
|
|
Style Transfer (F32)
|
100% |
804
1.06 IPS |
|
|
Style Transfer (F16)
|
100% |
1928
2.54 IPS |
|
|
Style Transfer (I8)
|
28% |
3372
4.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
296
10.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10646
380.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
19997
714.2 IPS |
|
|
Text Classification (F32)
|
100% |
373
536.2 IPS |
|
|
Text Classification (F16)
|
100% |
992
1.43 KIPS |
|
|
Text Classification (I8)
|
94% |
1012
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
574
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
557
10.3 IPS |
|
|
Machine Translation (I8)
|
64% |
541
9.95 IPS |
