Google Pixel 9 Pro
Geekbench AI Score
445
Single Precision Score
4833
Half Precision Score
8355
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 11:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
4590
853.5 IPS |
|
|
Image Classification (Q)
|
99% |
6258
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
9876
160.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18294
297.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
450
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
31571
36.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63218
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
5093
403.9 IPS |
|
|
Object Detection (Q)
|
87% |
6681
536.0 IPS |
|
|
Face Detection (SP)
|
100% |
649
7.72 IPS |
|
|
Face Detection (HP)
|
100% |
16107
191.4 IPS |
|
|
Face Detection (Q)
|
97% |
32797
391.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
564
4.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
30848
237.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
37031
340.9 IPS |
|
|
Style Transfer (SP)
|
100% |
850
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
834
1.07 IPS |
|
|
Style Transfer (Q)
|
73% |
3551
4.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8731
322.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15002
555.9 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.4 IPS |
|
|
Text Classification (HP)
|
100% |
434
579.3 IPS |
|
|
Text Classification (Q)
|
92% |
1242
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
427
10.4 IPS |
