Google Pixel 9 Pro
Geekbench AI Score
760
Single Precision Score
1090
Half Precision Score
1043
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 11:30 AM |
| Views | 4 |
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% |
475
88.4 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.1 IPS |
|
|
Image Classification (Q)
|
99% |
570
106.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1281
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
990
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (Q)
|
83% |
601
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
1977
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
2405
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
983
7.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
1786
13.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1449
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2950
3.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4902
6.30 IPS |
|
|
Style Transfer (Q)
|
98% |
4818
6.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
882
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.3 IPS |
|
|
Text Classification (HP)
|
100% |
402
536.4 IPS |
|
|
Text Classification (Q)
|
91% |
693
931.9 IPS |
|
|
Machine Translation (SP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (Q)
|
57% |
345
8.42 IPS |
