Google Pixel 9 Pro
Geekbench AI Score
745
Single Precision Score
871
Half Precision Score
795
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kelvan |
| Upload Date | June 26 2025 09:00 AM |
| 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% |
454
84.4 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (Q)
|
99% |
453
84.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1070
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
530
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
740
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
737
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.0 IPS |
|
|
Object Detection (Q)
|
83% |
554
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
2099
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1019
7.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
1262
9.72 IPS |
|
|
Depth Estimation (Q)
|
62% |
1027
9.72 IPS |
|
|
Style Transfer (SP)
|
100% |
2771
3.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3625
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3569
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
588
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
663
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
405
541.0 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.2 IPS |
|
|
Text Classification (Q)
|
91% |
673
904.1 IPS |
|
|
Machine Translation (SP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (Q)
|
57% |
149
3.63 IPS |
