Google Pixel 9 Pro XL
Geekbench AI Score
1128
Single Precision Score
1750
Half Precision Score
1291
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 09:46 PM |
| Views | 3 |
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% |
679
126.2 IPS |
|
|
Image Classification (HP)
|
100% |
767
142.7 IPS |
|
|
Image Classification (Q)
|
97% |
496
92.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2108
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5297
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13199
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12615
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (HP)
|
99% |
1071
85.0 IPS |
|
|
Object Detection (Q)
|
83% |
1030
83.2 IPS |
|
|
Face Detection (SP)
|
100% |
2696
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
3434
40.8 IPS |
|
|
Face Detection (Q)
|
96% |
2927
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3691
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6333
48.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4976
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8089
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21605
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20135
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2428
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2281
84.5 IPS |
|
|
Text Classification (SP)
|
35% |
20
183.4 IPS |
|
|
Text Classification (HP)
|
35% |
27
242.4 IPS |
|
|
Text Classification (Q)
|
32% |
19
246.7 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.36 IPS |
