Google Pixel 8 Pro
Geekbench AI Score
1868
Single Precision Score
1910
Half Precision Score
3226
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 08:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 8 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1085
201.7 IPS |
|
|
Image Classification (HP)
|
100% |
1327
246.8 IPS |
|
|
Image Classification (Q)
|
100% |
2448
455.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2774
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2992
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2815
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
6670
7.91 IPS |
|
|
Object Detection (SP)
|
98% |
1258
100.1 IPS |
|
|
Object Detection (HP)
|
98% |
1351
107.5 IPS |
|
|
Object Detection (Q)
|
83% |
2454
198.3 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2823
33.5 IPS |
|
|
Face Detection (Q)
|
95% |
5578
66.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2778
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2799
21.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5010
45.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6692
8.69 IPS |
|
|
Style Transfer (HP)
|
89% |
6677
8.67 IPS |
|
|
Style Transfer (Q)
|
98% |
14350
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1573
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3995
148.0 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.2 IPS |
|
|
Text Classification (HP)
|
99% |
732
977.4 IPS |
|
|
Text Classification (Q)
|
88% |
1174
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
585
20.8 IPS |
