Google Pixel 9 Pro XL
Geekbench AI Score
1129
Single Precision Score
1777
Half Precision Score
1291
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 02:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
699
130.0 IPS |
|
|
Image Classification (HP)
|
100% |
903
167.9 IPS |
|
|
Image Classification (Q)
|
97% |
475
88.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2156
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5275
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
13239
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12591
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
607
48.2 IPS |
|
|
Object Detection (HP)
|
99% |
1091
86.6 IPS |
|
|
Object Detection (Q)
|
83% |
1039
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (Q)
|
96% |
3086
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3712
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6474
50.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
5051
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8067
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21250
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20236
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2486
91.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2420
89.7 IPS |
|
|
Text Classification (SP)
|
35% |
20
185.1 IPS |
|
|
Text Classification (HP)
|
35% |
27
241.0 IPS |
|
|
Text Classification (Q)
|
32% |
16
203.9 IPS |
|
|
Machine Translation (SP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
43% |
79
4.61 IPS |
