Google Pixel 8
Geekbench ML Score
1606
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 01 2025 05:52 PM |
| Views | 4 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
105
11.2 IPS |
|
|
Image Classification (F16)
|
100% |
3324
356.1 IPS |
|
|
Image Classification (I8)
|
79% |
5304
568.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
349
2.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
12588
77.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
33508
207.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
228
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
8582
34.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
17279
69.9 IPS |
|
|
Object Detection (F32)
|
100% |
109
3.83 IPS |
|
|
Object Detection (F16)
|
100% |
117
4.09 IPS |
|
|
Object Detection (I8)
|
50% |
1763
61.9 IPS |
|
|
Face Detection (F32)
|
100% |
234
2.69 IPS |
|
|
Face Detection (F16)
|
98% |
10659
122.5 IPS |
|
|
Face Detection (I8)
|
75% |
19108
219.5 IPS |
|
|
Text Classification (F32)
|
100% |
1144
452.3 IPS |
|
|
Text Classification (F16)
|
100% |
793
313.5 IPS |
|
|
Machine Translation (F32)
|
100% |
957
147.4 IPS |
|
|
Machine Translation (F16)
|
100% |
955
147.1 IPS |
