Google Pixel 8
Geekbench ML Score
370
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 01 2025 05:47 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
241
25.8 IPS |
|
|
Image Classification (F16)
|
100% |
217
23.2 IPS |
|
|
Image Classification (I8)
|
81% |
173
18.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
470
2.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
443
2.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
903
5.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
350
1.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
336
1.36 IPS |
|
|
Pose Estimation (I8)
|
80% |
286
1.16 IPS |
|
|
Object Detection (F32)
|
100% |
140
4.93 IPS |
|
|
Object Detection (F16)
|
100% |
137
4.81 IPS |
|
|
Object Detection (I8)
|
52% |
271
9.50 IPS |
|
|
Face Detection (F32)
|
100% |
611
7.02 IPS |
|
|
Face Detection (F16)
|
100% |
605
6.96 IPS |
|
|
Face Detection (I8)
|
75% |
573
6.58 IPS |
|
|
Text Classification (F32)
|
100% |
233
92.2 IPS |
|
|
Text Classification (F16)
|
100% |
498
196.8 IPS |
|
|
Machine Translation (F32)
|
100% |
941
145.0 IPS |
|
|
Machine Translation (F16)
|
100% |
948
146.1 IPS |
