Google Pixel 9 Pro XL
Geekbench AI Score
1914
Single Precision Score
1948
Half Precision Score
2739
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 02:21 PM |
| Views | 1 |
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% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
1548
287.9 IPS |
|
|
Image Classification (Q)
|
100% |
2404
447.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1730
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2448
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2788
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2670
3.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
5911
7.01 IPS |
|
|
Object Detection (SP)
|
98% |
1387
110.4 IPS |
|
|
Object Detection (HP)
|
98% |
1372
109.2 IPS |
|
|
Object Detection (Q)
|
83% |
1885
152.3 IPS |
|
|
Face Detection (SP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2824
33.5 IPS |
|
|
Face Detection (Q)
|
95% |
4812
57.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2939
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2848
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4699
43.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6695
8.69 IPS |
|
|
Style Transfer (HP)
|
89% |
6557
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
12570
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3423
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
693
925.5 IPS |
|
|
Text Classification (HP)
|
99% |
710
947.0 IPS |
|
|
Text Classification (Q)
|
88% |
1109
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
337
12.0 IPS |
