Google Pixel 9 Pro XL
Geekbench AI Score
2072
Single Precision Score
2109
Half Precision Score
3193
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | May 11 2025 05:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
1545
287.3 IPS |
|
|
Image Classification (Q)
|
100% |
2319
431.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2504
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3048
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2982
3.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
6707
7.96 IPS |
|
|
Object Detection (SP)
|
98% |
1451
115.5 IPS |
|
|
Object Detection (HP)
|
98% |
1563
124.4 IPS |
|
|
Object Detection (Q)
|
83% |
2287
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
4826
57.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3326
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3269
25.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5105
46.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7253
9.41 IPS |
|
|
Style Transfer (HP)
|
89% |
7347
9.54 IPS |
|
|
Style Transfer (Q)
|
98% |
14332
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1653
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3506
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
735
981.3 IPS |
|
|
Text Classification (HP)
|
99% |
737
983.1 IPS |
|
|
Text Classification (Q)
|
88% |
1315
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (Q)
|
50% |
762
27.0 IPS |
