Google Pixel 9 Pro
Geekbench AI Score
1778
Single Precision Score
1729
Half Precision Score
2561
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | punkouter25 |
| Upload Date | March 30 2025 10:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 9 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (Q)
|
100% |
2357
438.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2402
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2981
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2872
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
6395
7.58 IPS |
|
|
Object Detection (SP)
|
98% |
1505
119.8 IPS |
|
|
Object Detection (HP)
|
98% |
1536
122.3 IPS |
|
|
Object Detection (Q)
|
83% |
2019
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (Q)
|
95% |
4889
58.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2966
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2884
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4198
38.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5551
7.21 IPS |
|
|
Style Transfer (HP)
|
89% |
5547
7.20 IPS |
|
|
Style Transfer (Q)
|
98% |
9824
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2331
86.4 IPS |
|
|
Text Classification (SP)
|
100% |
460
613.7 IPS |
|
|
Text Classification (HP)
|
99% |
459
612.1 IPS |
|
|
Text Classification (Q)
|
88% |
766
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
50% |
462
16.4 IPS |
