Google Pixel 9 Pro
Geekbench AI Score
438
Single Precision Score
5133
Half Precision Score
9575
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | March 09 2025 10:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
283
52.6 IPS |
|
|
Image Classification (HP)
|
100% |
6308
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
8307
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
8712
141.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17826
289.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
32288
37.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
65594
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
5633
446.8 IPS |
|
|
Object Detection (Q)
|
87% |
7930
636.1 IPS |
|
|
Face Detection (SP)
|
100% |
645
7.67 IPS |
|
|
Face Detection (HP)
|
100% |
17908
212.8 IPS |
|
|
Face Detection (Q)
|
97% |
35973
428.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
553
4.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
35012
269.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
43611
401.5 IPS |
|
|
Style Transfer (SP)
|
100% |
822
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
819
1.05 IPS |
|
|
Style Transfer (Q)
|
73% |
3399
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10228
377.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19267
713.9 IPS |
|
|
Text Classification (SP)
|
100% |
424
565.7 IPS |
|
|
Text Classification (HP)
|
100% |
426
568.7 IPS |
|
|
Text Classification (Q)
|
92% |
2300
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
589
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
57% |
356
8.70 IPS |
