Google Pixel 9 Pro XL
Geekbench AI Score
351
Single Precision Score
4431
Half Precision Score
8374
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 05:26 PM |
| Views | 2 |
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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
4682
870.7 IPS |
|
|
Image Classification (Q)
|
99% |
9246
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
7625
123.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16976
276.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
361
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
31381
36.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62727
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
4833
383.4 IPS |
|
|
Object Detection (Q)
|
87% |
6510
522.2 IPS |
|
|
Face Detection (SP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (HP)
|
100% |
16533
196.4 IPS |
|
|
Face Detection (Q)
|
97% |
32659
389.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
503
3.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
31984
246.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
36495
336.0 IPS |
|
|
Style Transfer (SP)
|
100% |
695
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
698
0.90 IPS |
|
|
Style Transfer (Q)
|
72% |
2920
4.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
265
9.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8828
326.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16331
605.1 IPS |
|
|
Text Classification (SP)
|
100% |
211
282.1 IPS |
|
|
Text Classification (HP)
|
100% |
334
445.8 IPS |
|
|
Text Classification (Q)
|
92% |
1339
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
57% |
348
8.50 IPS |
