Google Pixel 8
Geekbench AI Score
1992
Single Precision Score
1977
Half Precision Score
3159
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 05:58 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1548
287.9 IPS |
|
|
Image Classification (HP)
|
100% |
1547
287.6 IPS |
|
|
Image Classification (Q)
|
100% |
2474
460.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2587
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3109
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2928
3.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
6654
7.89 IPS |
|
|
Object Detection (SP)
|
98% |
1464
116.5 IPS |
|
|
Object Detection (HP)
|
98% |
1473
117.2 IPS |
|
|
Object Detection (Q)
|
83% |
2133
172.3 IPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (Q)
|
95% |
5601
66.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2878
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2874
22.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5268
48.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6994
9.08 IPS |
|
|
Style Transfer (HP)
|
89% |
6893
8.95 IPS |
|
|
Style Transfer (Q)
|
98% |
13902
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3748
138.9 IPS |
|
|
Text Classification (SP)
|
100% |
672
897.5 IPS |
|
|
Text Classification (HP)
|
99% |
695
928.3 IPS |
|
|
Text Classification (Q)
|
88% |
1094
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
649
23.0 IPS |
