Google Pixel 9 Pro XL
Geekbench AI Score
1120
Single Precision Score
1744
Half Precision Score
1290
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Skyforger |
| Upload Date | October 24 2025 12:38 AM |
| 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 XL |
| Model ID | Google Pixel 9 Pro XL |
| Motherboard | komodo |
| 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% |
630
117.1 IPS |
|
|
Image Classification (HP)
|
100% |
759
141.2 IPS |
|
|
Image Classification (Q)
|
97% |
521
97.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2054
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5300
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13098
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12563
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
599
47.6 IPS |
|
|
Object Detection (HP)
|
99% |
1073
85.1 IPS |
|
|
Object Detection (Q)
|
83% |
1025
82.8 IPS |
|
|
Face Detection (SP)
|
100% |
2689
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (Q)
|
96% |
2912
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3672
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6450
49.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
5015
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8073
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21279
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20114
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2431
89.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2285
84.7 IPS |
|
|
Text Classification (SP)
|
35% |
22
204.0 IPS |
|
|
Text Classification (HP)
|
35% |
30
270.2 IPS |
|
|
Text Classification (Q)
|
32% |
19
247.7 IPS |
|
|
Machine Translation (SP)
|
100% |
310
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.37 IPS |
|
|
Machine Translation (Q)
|
43% |
73
4.27 IPS |
