Google Pixel 9 Pro XL
Geekbench AI Score
1118
Single Precision Score
1737
Half Precision Score
1337
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 03:49 PM |
| Views | 1 |
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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
644
119.8 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
97% |
685
127.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2063
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4985
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13077
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12635
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (HP)
|
99% |
1097
87.0 IPS |
|
|
Object Detection (Q)
|
83% |
1034
83.5 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
3361
39.9 IPS |
|
|
Face Detection (Q)
|
96% |
2971
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3695
28.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6395
49.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4977
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8061
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21311
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20218
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1926
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2432
89.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2263
83.9 IPS |
|
|
Text Classification (SP)
|
35% |
22
198.7 IPS |
|
|
Text Classification (HP)
|
35% |
32
289.9 IPS |
|
|
Text Classification (Q)
|
32% |
19
248.4 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.46 IPS |
