Google Pixel 9 Pro XL
Geekbench AI Score
910
Single Precision Score
906
Half Precision Score
1284
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 27 2025 01:52 PM |
| Views | 3 |
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% |
610
113.5 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.4 IPS |
|
|
Image Classification (Q)
|
100% |
1039
193.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
768
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1352
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1386
1.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
3037
3.60 IPS |
|
|
Object Detection (SP)
|
98% |
594
47.2 IPS |
|
|
Object Detection (HP)
|
98% |
596
47.4 IPS |
|
|
Object Detection (Q)
|
83% |
500
40.4 IPS |
|
|
Face Detection (SP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (Q)
|
95% |
2242
26.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1484
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1421
11.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2247
20.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3171
4.12 IPS |
|
|
Style Transfer (HP)
|
89% |
3263
4.24 IPS |
|
|
Style Transfer (Q)
|
98% |
6409
8.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1638
60.7 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.5 IPS |
|
|
Text Classification (HP)
|
99% |
317
422.5 IPS |
|
|
Text Classification (Q)
|
88% |
503
678.2 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
285
10.1 IPS |
