Google Pixel 9 Pro XL
Geekbench AI Score
2020
Single Precision Score
2020
Half Precision Score
3053
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 19 2025 06:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (Q)
|
100% |
2314
430.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2415
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2850
3.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
6285
7.45 IPS |
|
|
Object Detection (SP)
|
98% |
1501
119.4 IPS |
|
|
Object Detection (HP)
|
98% |
1509
120.1 IPS |
|
|
Object Detection (Q)
|
83% |
1913
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (Q)
|
95% |
4814
57.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3148
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3041
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4894
44.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7015
9.11 IPS |
|
|
Style Transfer (HP)
|
89% |
6858
8.90 IPS |
|
|
Style Transfer (Q)
|
98% |
13528
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3512
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
708
944.6 IPS |
|
|
Text Classification (HP)
|
99% |
713
952.1 IPS |
|
|
Text Classification (Q)
|
88% |
1313
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
714
25.3 IPS |
