Google Pixel 8
Geekbench AI Score
1506
Single Precision Score
1519
Half Precision Score
2301
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 25 2025 10:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1239
230.4 IPS |
|
|
Image Classification (HP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (Q)
|
100% |
2534
471.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1496
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2638
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2882
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2757
3.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
5825
6.91 IPS |
|
|
Object Detection (SP)
|
98% |
1140
90.7 IPS |
|
|
Object Detection (HP)
|
98% |
1201
95.6 IPS |
|
|
Object Detection (Q)
|
83% |
1540
124.4 IPS |
|
|
Face Detection (SP)
|
100% |
2296
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2288
27.2 IPS |
|
|
Face Detection (Q)
|
95% |
3453
41.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1932
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2058
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3094
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5076
6.59 IPS |
|
|
Style Transfer (HP)
|
89% |
5082
6.60 IPS |
|
|
Style Transfer (Q)
|
98% |
9427
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2385
88.4 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.3 IPS |
|
|
Text Classification (HP)
|
99% |
447
596.4 IPS |
|
|
Text Classification (Q)
|
88% |
660
890.8 IPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
50% |
438
15.6 IPS |
