Google Pixel 8
Geekbench AI Score
1632
Single Precision Score
1636
Half Precision Score
3371
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 11:50 PM |
| Views | 1 |
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% |
1494
277.9 IPS |
|
|
Image Classification (HP)
|
100% |
914
169.9 IPS |
|
|
Image Classification (Q)
|
100% |
2434
452.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2772
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3361
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3145
3.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
7188
8.52 IPS |
|
|
Object Detection (SP)
|
98% |
874
69.5 IPS |
|
|
Object Detection (HP)
|
98% |
1511
120.2 IPS |
|
|
Object Detection (Q)
|
83% |
2329
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
1975
23.5 IPS |
|
|
Face Detection (Q)
|
95% |
5413
64.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1797
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1795
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5337
48.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4794
6.22 IPS |
|
|
Style Transfer (HP)
|
89% |
7737
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15770
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1650
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1640
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4034
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
768
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1210
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
50% |
756
26.8 IPS |
