Google Pixel 8
Geekbench AI Score
1482
Single Precision Score
1530
Half Precision Score
2366
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DemonShell |
| Upload Date | February 24 2025 10:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
848
157.8 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.4 IPS |
|
|
Image Classification (Q)
|
100% |
2573
478.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1423
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2874
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2760
3.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
6241
7.40 IPS |
|
|
Object Detection (SP)
|
98% |
1279
101.8 IPS |
|
|
Object Detection (HP)
|
98% |
1175
93.5 IPS |
|
|
Object Detection (Q)
|
83% |
1906
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (Q)
|
95% |
4514
53.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2479
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2505
19.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3577
32.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5657
7.34 IPS |
|
|
Style Transfer (HP)
|
89% |
5268
6.84 IPS |
|
|
Style Transfer (Q)
|
98% |
9695
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
971
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2384
88.3 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.5 IPS |
|
|
Text Classification (HP)
|
99% |
450
601.2 IPS |
|
|
Text Classification (Q)
|
88% |
722
973.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.7 IPS |
