Google Pixel 8 Pro
Geekbench AI Score
1335
Single Precision Score
1308
Half Precision Score
2184
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 28 2025 12:49 PM |
| 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 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% |
942
175.2 IPS |
|
|
Image Classification (HP)
|
100% |
833
154.8 IPS |
|
|
Image Classification (Q)
|
100% |
2612
485.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2563
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2808
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2422
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
4167
4.94 IPS |
|
|
Object Detection (SP)
|
98% |
990
78.8 IPS |
|
|
Object Detection (HP)
|
98% |
992
78.9 IPS |
|
|
Object Detection (Q)
|
83% |
1289
104.1 IPS |
|
|
Face Detection (SP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2215
26.3 IPS |
|
|
Face Detection (Q)
|
95% |
3361
40.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2043
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2068
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3345
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4791
6.22 IPS |
|
|
Style Transfer (HP)
|
89% |
4074
5.29 IPS |
|
|
Style Transfer (Q)
|
98% |
8180
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2275
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
408
545.2 IPS |
|
|
Text Classification (HP)
|
99% |
442
589.7 IPS |
|
|
Text Classification (Q)
|
88% |
729
983.5 IPS |
|
|
Machine Translation (SP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
452
16.0 IPS |
