Google Pixel 9 Pro XL
Geekbench AI Score
2031
Single Precision Score
2031
Half Precision Score
3128
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 03:12 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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (Q)
|
100% |
2392
444.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2510
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2886
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6470
7.67 IPS |
|
|
Object Detection (SP)
|
98% |
1508
120.0 IPS |
|
|
Object Detection (HP)
|
98% |
1509
120.1 IPS |
|
|
Object Detection (Q)
|
83% |
2173
175.5 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2889
34.3 IPS |
|
|
Face Detection (Q)
|
95% |
4746
56.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3195
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3132
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4994
45.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7214
9.36 IPS |
|
|
Style Transfer (HP)
|
89% |
7003
9.09 IPS |
|
|
Style Transfer (Q)
|
98% |
13728
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1515
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3558
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
714
953.0 IPS |
|
|
Text Classification (HP)
|
99% |
728
971.8 IPS |
|
|
Text Classification (Q)
|
88% |
1289
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
713
25.3 IPS |
