Google Pixel 9 Pro
Geekbench AI Score
1088
Single Precision Score
1625
Half Precision Score
1248
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | leow149 |
| Upload Date | July 01 2025 07:06 PM |
| 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% |
608
113.0 IPS |
|
|
Image Classification (HP)
|
100% |
767
142.7 IPS |
|
|
Image Classification (Q)
|
97% |
414
77.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1665
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5299
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13642
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12967
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
99% |
716
56.8 IPS |
|
|
Object Detection (Q)
|
83% |
1070
86.4 IPS |
|
|
Face Detection (SP)
|
100% |
2588
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (Q)
|
96% |
2857
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3665
28.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6171
47.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4900
46.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8099
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21766
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19820
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2489
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2315
85.8 IPS |
|
|
Text Classification (SP)
|
35% |
21
190.9 IPS |
|
|
Text Classification (HP)
|
35% |
22
203.4 IPS |
|
|
Text Classification (Q)
|
32% |
20
256.4 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.35 IPS |
