Google Pixel 8
Geekbench AI Score
353
Single Precision Score
4252
Half Precision Score
8118
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 01:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
5790
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
7485
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
6637
107.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15843
257.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
331
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
29687
34.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
59193
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
4487
355.9 IPS |
|
|
Object Detection (Q)
|
87% |
7341
588.8 IPS |
|
|
Face Detection (SP)
|
100% |
535
6.36 IPS |
|
|
Face Detection (HP)
|
100% |
13550
161.0 IPS |
|
|
Face Detection (Q)
|
97% |
32812
391.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
470
3.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
28339
218.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
32576
299.9 IPS |
|
|
Style Transfer (SP)
|
100% |
716
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
690
0.89 IPS |
|
|
Style Transfer (Q)
|
72% |
2799
3.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8392
309.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15472
573.3 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.4 IPS |
|
|
Text Classification (HP)
|
100% |
341
455.5 IPS |
|
|
Text Classification (Q)
|
92% |
1542
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
508
8.76 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (Q)
|
57% |
338
8.26 IPS |
