Google Pixel 8
Geekbench AI Score
343
Single Precision Score
4055
Half Precision Score
6526
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 11:09 PM |
| Views | 3 |
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% |
249
46.2 IPS |
|
|
Image Classification (HP)
|
100% |
5062
941.4 IPS |
|
|
Image Classification (Q)
|
99% |
5325
993.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
7448
120.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14010
227.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30734
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
61096
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
3891
308.6 IPS |
|
|
Object Detection (Q)
|
87% |
4641
372.3 IPS |
|
|
Face Detection (SP)
|
100% |
466
5.54 IPS |
|
|
Face Detection (HP)
|
100% |
12656
150.4 IPS |
|
|
Face Detection (Q)
|
97% |
24903
296.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
480
3.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
28426
219.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
30579
281.5 IPS |
|
|
Style Transfer (SP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
716
0.92 IPS |
|
|
Style Transfer (Q)
|
72% |
2760
3.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8026
296.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13315
493.4 IPS |
|
|
Text Classification (SP)
|
100% |
190
254.1 IPS |
|
|
Text Classification (HP)
|
100% |
289
386.3 IPS |
|
|
Text Classification (Q)
|
92% |
740
993.4 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
