Google Pixel 9 Pro
Geekbench AI Score
777
Single Precision Score
921
Half Precision Score
872
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | March 10 2025 06:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
466
86.6 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
99% |
462
86.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
717
0.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
711
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
83% |
549
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
1871
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
1674
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
999
7.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
1262
9.72 IPS |
|
|
Depth Estimation (Q)
|
62% |
1019
9.64 IPS |
|
|
Style Transfer (SP)
|
100% |
2686
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3609
4.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3557
4.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
569
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
658
24.4 IPS |
|
|
Text Classification (SP)
|
100% |
437
582.7 IPS |
|
|
Text Classification (HP)
|
100% |
432
577.2 IPS |
|
|
Text Classification (Q)
|
91% |
701
942.2 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
456
11.1 IPS |
