Google Pixel 9 Pro
Geekbench AI Score
1115
Single Precision Score
1734
Half Precision Score
1299
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 01:56 AM |
| Views | 2 |
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 | 15.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
657
122.1 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.3 IPS |
|
|
Image Classification (Q)
|
97% |
522
97.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2611
42.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2073
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5272
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
12698
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12486
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
608
48.2 IPS |
|
|
Object Detection (HP)
|
99% |
1073
85.1 IPS |
|
|
Object Detection (Q)
|
83% |
1015
82.0 IPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (Q)
|
96% |
3193
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3697
28.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6366
49.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4970
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8096
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21318
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20151
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2448
90.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2285
84.7 IPS |
|
|
Text Classification (SP)
|
35% |
21
191.4 IPS |
|
|
Text Classification (HP)
|
35% |
27
242.3 IPS |
|
|
Text Classification (Q)
|
32% |
18
233.1 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.42 IPS |
