Google Pixel 9 Pro XL
Geekbench AI Score
1190
Single Precision Score
1189
Half Precision Score
1703
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 05:32 AM |
| Views | 1 |
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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
1468
273.0 IPS |
|
|
Image Classification (Q)
|
100% |
2182
405.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2135
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2197
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1853
2.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
4602
5.46 IPS |
|
|
Object Detection (SP)
|
98% |
882
70.2 IPS |
|
|
Object Detection (HP)
|
98% |
764
60.8 IPS |
|
|
Object Detection (Q)
|
83% |
864
69.8 IPS |
|
|
Face Detection (SP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1720
20.4 IPS |
|
|
Face Detection (Q)
|
95% |
2433
29.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1454
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1509
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2610
23.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3852
5.00 IPS |
|
|
Style Transfer (HP)
|
89% |
3782
4.91 IPS |
|
|
Style Transfer (Q)
|
98% |
7481
9.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
749
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1761
65.3 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.2 IPS |
|
|
Text Classification (HP)
|
99% |
356
475.8 IPS |
|
|
Text Classification (Q)
|
88% |
471
635.0 IPS |
|
|
Machine Translation (SP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
282
10.0 IPS |
