Google Pixel 9 Pro XL
Geekbench AI Score
1119
Single Precision Score
1757
Half Precision Score
1312
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 05:38 AM |
| Views | 2 |
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% |
671
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.6 IPS |
|
|
Image Classification (Q)
|
97% |
511
95.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2615
42.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2387
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5274
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
13206
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12566
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (HP)
|
99% |
1079
85.6 IPS |
|
|
Object Detection (Q)
|
83% |
1013
81.8 IPS |
|
|
Face Detection (SP)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
3448
41.0 IPS |
|
|
Face Detection (Q)
|
96% |
2943
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3663
28.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6570
50.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4962
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8046
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21474
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20141
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1915
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2463
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2300
85.2 IPS |
|
|
Text Classification (SP)
|
35% |
21
187.2 IPS |
|
|
Text Classification (HP)
|
35% |
25
231.2 IPS |
|
|
Text Classification (Q)
|
32% |
19
239.0 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.43 IPS |
