Google Pixel 9 Pro XL
Geekbench AI Score
1990
Single Precision Score
1949
Half Precision Score
2967
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 03:46 PM |
| Views | 5 |
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% |
1576
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
1455
270.6 IPS |
|
|
Image Classification (Q)
|
100% |
2243
417.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2452
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2745
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2652
3.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
5857
6.95 IPS |
|
|
Object Detection (SP)
|
98% |
1406
111.9 IPS |
|
|
Object Detection (HP)
|
98% |
1425
113.4 IPS |
|
|
Object Detection (Q)
|
83% |
2064
166.8 IPS |
|
|
Face Detection (SP)
|
100% |
2844
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
2825
33.6 IPS |
|
|
Face Detection (Q)
|
95% |
4578
54.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2941
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2936
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4724
43.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6694
8.69 IPS |
|
|
Style Transfer (HP)
|
89% |
6622
8.60 IPS |
|
|
Style Transfer (Q)
|
98% |
13113
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3545
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.3 IPS |
|
|
Text Classification (HP)
|
99% |
719
960.2 IPS |
|
|
Text Classification (Q)
|
88% |
1284
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
617
21.9 IPS |
