Google Pixel 9 Pro XL
Geekbench AI Score
1524
Single Precision Score
1484
Half Precision Score
2040
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Skyforger |
| Upload Date | October 24 2025 12:33 AM |
| Views | 2 |
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% |
1456
270.8 IPS |
|
|
Image Classification (HP)
|
100% |
1576
293.0 IPS |
|
|
Image Classification (Q)
|
100% |
1078
200.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2140
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2321
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1979
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
4651
5.52 IPS |
|
|
Object Detection (SP)
|
98% |
992
78.9 IPS |
|
|
Object Detection (HP)
|
98% |
913
72.6 IPS |
|
|
Object Detection (Q)
|
83% |
1313
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
2158
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2109
25.1 IPS |
|
|
Face Detection (Q)
|
95% |
3322
39.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2099
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2137
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3364
30.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5050
6.56 IPS |
|
|
Style Transfer (HP)
|
89% |
5076
6.59 IPS |
|
|
Style Transfer (Q)
|
98% |
10037
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2410
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
469
626.2 IPS |
|
|
Text Classification (HP)
|
99% |
466
622.2 IPS |
|
|
Text Classification (Q)
|
88% |
745
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.7 IPS |
