Google Pixel 8 Pro
Geekbench ML Score
1009
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 02 2024 02:01 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
454
85.0 IPS |
|
|
Image Classification (F16)
|
100% |
435
81.4 IPS |
|
|
Image Classification (I8)
|
97% |
878
164.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
567
9.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
601
10.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
803
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1126
1.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
1065
1.29 IPS |
|
|
Pose Estimation (I8)
|
100% |
4930
5.97 IPS |
|
|
Object Detection (F32)
|
100% |
540
40.3 IPS |
|
|
Object Detection (F16)
|
100% |
491
36.7 IPS |
|
|
Object Detection (I8)
|
61% |
1052
78.5 IPS |
|
|
Face Detection (F32)
|
100% |
997
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
1005
11.9 IPS |
|
|
Face Detection (I8)
|
86% |
2062
24.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1056
8.19 IPS |
|
|
Depth Estimation (F16)
|
100% |
1069
8.29 IPS |
|
|
Depth Estimation (I8)
|
95% |
1995
15.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1831
2.41 IPS |
|
|
Style Transfer (F16)
|
100% |
1801
2.37 IPS |
|
|
Style Transfer (I8)
|
98% |
3611
4.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
791
28.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
774
27.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2699
96.4 IPS |
|
|
Text Classification (F32)
|
100% |
680
976.6 IPS |
|
|
Text Classification (F16)
|
100% |
654
939.5 IPS |
|
|
Text Classification (I8)
|
92% |
523
752.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1206
22.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1185
21.8 IPS |
|
|
Machine Translation (I8)
|
64% |
559
10.3 IPS |
