Google Pixel 9 Pro XL
Geekbench AI Score
1124
Single Precision Score
1766
Half Precision Score
1326
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 09:38 PM |
| 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 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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
682
126.7 IPS |
|
|
Image Classification (HP)
|
100% |
769
143.0 IPS |
|
|
Image Classification (Q)
|
97% |
570
106.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2557
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2038
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5285
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
13105
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12478
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
612
48.6 IPS |
|
|
Object Detection (HP)
|
99% |
1096
86.9 IPS |
|
|
Object Detection (Q)
|
83% |
1051
84.9 IPS |
|
|
Face Detection (SP)
|
100% |
2671
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (Q)
|
96% |
2934
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3687
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6425
49.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
5013
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8055
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21588
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20081
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1904
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2516
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2316
85.8 IPS |
|
|
Text Classification (SP)
|
35% |
21
191.7 IPS |
|
|
Text Classification (HP)
|
35% |
26
240.9 IPS |
|
|
Text Classification (Q)
|
32% |
20
257.7 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (Q)
|
43% |
81
4.71 IPS |
