Google Pixel 9 Pro XL
Geekbench AI Score
1470
Single Precision Score
1465
Half Precision Score
2213
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 05:25 PM |
| Views | 6 |
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 | 15.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
1434
266.7 IPS |
|
|
Image Classification (Q)
|
100% |
2231
414.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2095
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2122
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
4577
5.43 IPS |
|
|
Object Detection (SP)
|
98% |
925
73.6 IPS |
|
|
Object Detection (HP)
|
98% |
981
78.1 IPS |
|
|
Object Detection (Q)
|
83% |
1351
109.1 IPS |
|
|
Face Detection (SP)
|
100% |
2081
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2127
25.3 IPS |
|
|
Face Detection (Q)
|
95% |
3198
38.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2140
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2162
16.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3223
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5159
6.70 IPS |
|
|
Style Transfer (HP)
|
89% |
5106
6.63 IPS |
|
|
Style Transfer (Q)
|
98% |
9921
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1091
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2395
88.7 IPS |
|
|
Text Classification (SP)
|
100% |
445
594.4 IPS |
|
|
Text Classification (HP)
|
99% |
464
619.3 IPS |
|
|
Text Classification (Q)
|
88% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
478
17.0 IPS |
