Google Pixel 9 Pro XL
Geekbench AI Score
1395
Single Precision Score
1451
Half Precision Score
2166
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 03:09 AM |
| Views | 5 |
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% |
948
176.2 IPS |
|
|
Image Classification (HP)
|
100% |
1128
209.7 IPS |
|
|
Image Classification (Q)
|
100% |
1464
272.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1770
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2141
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2102
2.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
4800
5.69 IPS |
|
|
Object Detection (SP)
|
98% |
1075
85.6 IPS |
|
|
Object Detection (HP)
|
98% |
975
77.6 IPS |
|
|
Object Detection (Q)
|
83% |
1419
114.6 IPS |
|
|
Face Detection (SP)
|
100% |
2285
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2215
26.3 IPS |
|
|
Face Detection (Q)
|
95% |
3541
42.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2146
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2112
16.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3656
33.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5316
6.90 IPS |
|
|
Style Transfer (HP)
|
89% |
5435
7.05 IPS |
|
|
Style Transfer (Q)
|
98% |
10342
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1071
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1090
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2477
91.8 IPS |
|
|
Text Classification (SP)
|
100% |
481
641.5 IPS |
|
|
Text Classification (HP)
|
99% |
493
658.6 IPS |
|
|
Text Classification (Q)
|
88% |
850
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
