Google Pixel 9 Pro
Geekbench AI Score
1115
Single Precision Score
1765
Half Precision Score
1307
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:16 PM |
| Views | 3 |
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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
680
126.5 IPS |
|
|
Image Classification (HP)
|
100% |
826
153.6 IPS |
|
|
Image Classification (Q)
|
97% |
520
97.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2037
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5293
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13215
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12596
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (HP)
|
99% |
1072
85.0 IPS |
|
|
Object Detection (Q)
|
83% |
1020
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
2652
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (Q)
|
96% |
3059
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3652
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6256
48.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4988
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8121
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21048
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20051
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2436
90.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2255
83.6 IPS |
|
|
Text Classification (SP)
|
35% |
21
194.8 IPS |
|
|
Text Classification (HP)
|
35% |
29
261.5 IPS |
|
|
Text Classification (Q)
|
32% |
19
246.1 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.18 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
43% |
82
4.80 IPS |
