Google Pixel 9 Pro XL
Geekbench AI Score
2053
Single Precision Score
2070
Half Precision Score
3144
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | BenchesBeTrippin |
| Upload Date | August 27 2025 08:34 PM |
| Views | 7 |
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% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (Q)
|
100% |
2331
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2480
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2976
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2890
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6484
7.69 IPS |
|
|
Object Detection (SP)
|
98% |
1531
121.8 IPS |
|
|
Object Detection (HP)
|
98% |
1542
122.7 IPS |
|
|
Object Detection (Q)
|
83% |
2120
171.3 IPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
4966
59.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3249
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3230
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5016
45.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7018
9.11 IPS |
|
|
Style Transfer (HP)
|
89% |
7082
9.19 IPS |
|
|
Style Transfer (Q)
|
98% |
13822
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3631
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.9 IPS |
|
|
Text Classification (HP)
|
99% |
720
960.7 IPS |
|
|
Text Classification (Q)
|
88% |
1319
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
721
25.6 IPS |
