Google Pixel 8
Geekbench AI Score
361
Single Precision Score
4742
Half Precision Score
6632
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 25 2025 10:30 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (HP)
|
100% |
4828
897.9 IPS |
|
|
Image Classification (Q)
|
99% |
6984
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
9295
150.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20546
334.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
376
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30618
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
63621
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
5773
457.9 IPS |
|
|
Object Detection (Q)
|
87% |
6798
545.3 IPS |
|
|
Face Detection (SP)
|
100% |
539
6.40 IPS |
|
|
Face Detection (HP)
|
100% |
17556
208.6 IPS |
|
|
Face Detection (Q)
|
97% |
39604
472.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
477
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
33532
258.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
41907
385.8 IPS |
|
|
Style Transfer (SP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
706
0.91 IPS |
|
|
Style Transfer (Q)
|
27% |
184
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9486
350.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18144
672.3 IPS |
|
|
Text Classification (SP)
|
100% |
349
466.5 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.7 IPS |
|
|
Text Classification (Q)
|
92% |
1331
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
529
9.12 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
57% |
360
8.79 IPS |
