Google Pixel 9 Pro XL
Geekbench AI Score
329
Single Precision Score
4136
Half Precision Score
8328
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 02:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
4921
915.2 IPS |
|
|
Image Classification (Q)
|
99% |
7469
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
8126
131.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17386
282.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
427
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
30524
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
63527
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
5124
406.5 IPS |
|
|
Object Detection (Q)
|
87% |
6010
482.1 IPS |
|
|
Face Detection (SP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (HP)
|
100% |
16482
195.8 IPS |
|
|
Face Detection (Q)
|
97% |
35265
420.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
385
2.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
36216
279.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
40485
372.7 IPS |
|
|
Style Transfer (SP)
|
100% |
489
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
495
0.64 IPS |
|
|
Style Transfer (Q)
|
73% |
2421
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
150
5.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8450
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14716
545.3 IPS |
|
|
Text Classification (SP)
|
100% |
301
401.8 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.7 IPS |
|
|
Text Classification (Q)
|
92% |
2315
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (Q)
|
57% |
275
6.72 IPS |
