Google Pixel 9 Pro XL
Geekbench AI Score
2051
Single Precision Score
2050
Half Precision Score
3156
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 05:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
1572
292.3 IPS |
|
|
Image Classification (Q)
|
100% |
2324
432.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1761
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2576
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2940
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2879
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6503
7.71 IPS |
|
|
Object Detection (SP)
|
98% |
1433
114.1 IPS |
|
|
Object Detection (HP)
|
98% |
1424
113.3 IPS |
|
|
Object Detection (Q)
|
83% |
2154
174.0 IPS |
|
|
Face Detection (SP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
4718
56.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3115
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3109
24.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5056
46.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7170
9.31 IPS |
|
|
Style Transfer (HP)
|
89% |
7126
9.25 IPS |
|
|
Style Transfer (Q)
|
98% |
13826
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1593
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3602
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
721
961.8 IPS |
|
|
Text Classification (HP)
|
99% |
728
972.0 IPS |
|
|
Text Classification (Q)
|
88% |
1296
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1534
26.4 IPS |
|
|
Machine Translation (Q)
|
50% |
760
27.0 IPS |
