Google Pixel 8 Pro
Geekbench ML Score
932
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 27 2024 08:33 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
472
88.4 IPS |
|
|
Image Classification (F16)
|
100% |
458
85.7 IPS |
|
|
Image Classification (I8)
|
97% |
757
141.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
590
9.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
598
9.99 IPS |
|
|
Image Segmentation (I8)
|
98% |
782
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1070
1.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
993
1.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
4574
5.54 IPS |
|
|
Object Detection (F32)
|
100% |
499
37.3 IPS |
|
|
Object Detection (F16)
|
100% |
464
34.6 IPS |
|
|
Object Detection (I8)
|
61% |
989
73.8 IPS |
|
|
Face Detection (F32)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (I8)
|
86% |
1921
22.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1001
7.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
1007
7.81 IPS |
|
|
Depth Estimation (I8)
|
95% |
2001
15.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1719
2.26 IPS |
|
|
Style Transfer (F16)
|
100% |
1781
2.34 IPS |
|
|
Style Transfer (I8)
|
98% |
3834
5.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
746
26.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
711
25.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2181
77.9 IPS |
|
|
Text Classification (F32)
|
100% |
547
786.2 IPS |
|
|
Text Classification (F16)
|
100% |
556
799.6 IPS |
|
|
Text Classification (I8)
|
92% |
506
726.8 IPS |
|
|
Machine Translation (F32)
|
100% |
937
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
878
16.2 IPS |
|
|
Machine Translation (I8)
|
64% |
351
6.46 IPS |
