Google Pixel 8
Geekbench ML Score
1176
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 01 2025 05:49 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
631
67.6 IPS |
|
|
Image Classification (F16)
|
100% |
606
65.0 IPS |
|
|
Image Classification (I8)
|
81% |
562
60.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2626
16.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4136
25.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
3908
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1432
5.79 IPS |
|
|
Pose Estimation (F16)
|
0% |
3109
12.6 IPS |
|
|
Pose Estimation (I8)
|
0% |
3038
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
458
16.1 IPS |
|
|
Object Detection (F16)
|
99% |
502
17.6 IPS |
|
|
Object Detection (I8)
|
54% |
377
13.2 IPS |
|
|
Face Detection (F32)
|
100% |
1763
20.3 IPS |
|
|
Face Detection (F16)
|
97% |
2461
28.3 IPS |
|
|
Face Detection (I8)
|
75% |
1867
21.4 IPS |
|
|
Text Classification (F32)
|
100% |
457
180.6 IPS |
|
|
Text Classification (F16)
|
46% |
618
244.5 IPS |
|
|
Machine Translation (F32)
|
100% |
947
145.9 IPS |
|
|
Machine Translation (F16)
|
100% |
949
146.3 IPS |
