Google Pixel 9 Pro XL
Geekbench AI Score
2008
Single Precision Score
2054
Half Precision Score
3165
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:23 AM |
| Views | 11 |
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% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
1603
298.2 IPS |
|
|
Image Classification (Q)
|
100% |
2472
459.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2588
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2950
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2906
3.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
6381
7.57 IPS |
|
|
Object Detection (SP)
|
98% |
1520
121.0 IPS |
|
|
Object Detection (HP)
|
98% |
1433
114.0 IPS |
|
|
Object Detection (Q)
|
83% |
2199
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
2915
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (Q)
|
95% |
4962
59.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3022
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3169
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5069
46.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6984
9.07 IPS |
|
|
Style Transfer (HP)
|
89% |
7097
9.21 IPS |
|
|
Style Transfer (Q)
|
98% |
13845
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3641
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
681
909.5 IPS |
|
|
Text Classification (HP)
|
99% |
727
969.9 IPS |
|
|
Text Classification (Q)
|
88% |
1269
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1466
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1500
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
699
24.8 IPS |
