Google Pixel 9 Pro XL
Geekbench AI Score
1968
Single Precision Score
1934
Half Precision Score
2925
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 12:00 AM |
| Views | 3 |
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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.0 IPS |
|
|
Image Classification (HP)
|
100% |
1584
294.6 IPS |
|
|
Image Classification (Q)
|
100% |
2465
458.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2578
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2800
3.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
6353
7.53 IPS |
|
|
Object Detection (SP)
|
98% |
1499
119.3 IPS |
|
|
Object Detection (HP)
|
98% |
1483
118.0 IPS |
|
|
Object Detection (Q)
|
83% |
2215
178.9 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (Q)
|
95% |
4877
58.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3132
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2964
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5025
46.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7019
9.11 IPS |
|
|
Style Transfer (HP)
|
89% |
6605
8.57 IPS |
|
|
Style Transfer (Q)
|
98% |
13105
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3237
119.9 IPS |
|
|
Text Classification (SP)
|
100% |
604
806.3 IPS |
|
|
Text Classification (HP)
|
99% |
600
800.8 IPS |
|
|
Text Classification (Q)
|
88% |
947
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
522
18.5 IPS |
