Google Pixel 8
Geekbench ML Score
1033
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 07 2024 11:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 |
| Model ID | Google Pixel 8 |
| Motherboard | shiba |
| 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 | 7.39 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
471
88.2 IPS |
|
|
Image Classification (F16)
|
100% |
409
76.6 IPS |
|
|
Image Classification (I8)
|
97% |
893
167.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
572
9.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
546
9.12 IPS |
|
|
Image Segmentation (I8)
|
98% |
801
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1122
1.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
1097
1.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
4997
6.05 IPS |
|
|
Object Detection (F32)
|
100% |
560
41.8 IPS |
|
|
Object Detection (F16)
|
100% |
566
42.2 IPS |
|
|
Object Detection (I8)
|
61% |
1054
78.7 IPS |
|
|
Face Detection (F32)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (I8)
|
86% |
2076
24.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1111
8.61 IPS |
|
|
Depth Estimation (F16)
|
100% |
1107
8.59 IPS |
|
|
Depth Estimation (I8)
|
95% |
2090
16.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1903
2.50 IPS |
|
|
Style Transfer (F16)
|
100% |
1867
2.46 IPS |
|
|
Style Transfer (I8)
|
98% |
3877
5.10 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
842
30.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
814
29.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2598
92.8 IPS |
|
|
Text Classification (F32)
|
100% |
641
920.6 IPS |
|
|
Text Classification (F16)
|
100% |
663
953.6 IPS |
|
|
Text Classification (I8)
|
92% |
652
936.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1173
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1163
21.4 IPS |
|
|
Machine Translation (I8)
|
64% |
563
10.4 IPS |
