Google Pixel 8 Pro
Geekbench ML Score
738
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 27 2024 08:36 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
396
74.2 IPS |
|
|
Image Classification (F16)
|
100% |
439
82.1 IPS |
|
|
Image Classification (I8)
|
97% |
411
76.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
763
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
825
13.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
458
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
672
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
673
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
312
23.3 IPS |
|
|
Object Detection (F16)
|
100% |
329
24.6 IPS |
|
|
Object Detection (I8)
|
62% |
460
34.3 IPS |
|
|
Face Detection (F32)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (F16)
|
98% |
1428
17.0 IPS |
|
|
Face Detection (I8)
|
86% |
1358
16.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
954
7.40 IPS |
|
|
Depth Estimation (F16)
|
100% |
1164
9.02 IPS |
|
|
Depth Estimation (I8)
|
95% |
1153
8.94 IPS |
|
|
Style Transfer (F32)
|
100% |
2632
3.46 IPS |
|
|
Style Transfer (F16)
|
100% |
3228
4.25 IPS |
|
|
Style Transfer (I8)
|
98% |
3229
4.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
544
19.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
648
23.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
646
23.1 IPS |
|
|
Text Classification (F32)
|
100% |
388
557.3 IPS |
|
|
Text Classification (F16)
|
100% |
388
557.4 IPS |
|
|
Text Classification (I8)
|
92% |
577
829.5 IPS |
|
|
Machine Translation (F32)
|
100% |
593
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
563
10.4 IPS |
|
|
Machine Translation (I8)
|
64% |
550
10.1 IPS |
