Google Pixel 9 Pro
Geekbench AI Score
1131
Single Precision Score
1734
Half Precision Score
1282
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | congrio |
| Upload Date | August 16 2025 08:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
666
123.8 IPS |
|
|
Image Classification (HP)
|
100% |
745
138.6 IPS |
|
|
Image Classification (Q)
|
97% |
472
88.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2298
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5279
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
13169
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12214
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (HP)
|
99% |
1074
85.2 IPS |
|
|
Object Detection (Q)
|
83% |
1037
83.8 IPS |
|
|
Face Detection (SP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (Q)
|
96% |
2818
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3667
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6150
47.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4968
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8063
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21330
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20072
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1910
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2430
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2284
84.6 IPS |
|
|
Text Classification (SP)
|
35% |
21
186.6 IPS |
|
|
Text Classification (HP)
|
35% |
28
259.0 IPS |
|
|
Text Classification (Q)
|
32% |
19
251.4 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (Q)
|
43% |
72
4.21 IPS |
