Google Pixel 9 Pro XL
Geekbench AI Score
1718
Single Precision Score
1703
Half Precision Score
2573
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 07 2025 10:35 PM |
| Views | 1 |
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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
1476
274.5 IPS |
|
|
Image Classification (Q)
|
100% |
2319
431.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2384
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2826
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2744
3.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
6106
7.24 IPS |
|
|
Object Detection (SP)
|
98% |
1452
115.6 IPS |
|
|
Object Detection (HP)
|
98% |
1471
117.0 IPS |
|
|
Object Detection (Q)
|
83% |
1990
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
2889
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
4903
58.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2732
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2640
20.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4563
41.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6129
7.96 IPS |
|
|
Style Transfer (HP)
|
89% |
5422
7.04 IPS |
|
|
Style Transfer (Q)
|
98% |
10003
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2372
87.9 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.2 IPS |
|
|
Text Classification (HP)
|
99% |
463
618.5 IPS |
|
|
Text Classification (Q)
|
88% |
742
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
481
17.1 IPS |
