Google Pixel 9 Pro XL
Geekbench AI Score
360
Single Precision Score
3847
Half Precision Score
8481
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 01:36 AM |
| Views | 5 |
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% |
243
45.1 IPS |
|
|
Image Classification (HP)
|
100% |
1124
209.0 IPS |
|
|
Image Classification (Q)
|
99% |
10667
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
7617
123.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19278
313.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
31723
37.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
62814
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
4838
383.8 IPS |
|
|
Object Detection (Q)
|
87% |
6893
552.9 IPS |
|
|
Face Detection (SP)
|
100% |
440
5.23 IPS |
|
|
Face Detection (HP)
|
100% |
14999
178.2 IPS |
|
|
Face Detection (Q)
|
97% |
28303
337.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
469
3.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
31015
239.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
38229
351.9 IPS |
|
|
Style Transfer (SP)
|
100% |
707
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
699
0.90 IPS |
|
|
Style Transfer (Q)
|
73% |
2992
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9791
361.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14508
537.6 IPS |
|
|
Text Classification (SP)
|
100% |
332
442.7 IPS |
|
|
Text Classification (HP)
|
100% |
340
453.8 IPS |
|
|
Text Classification (Q)
|
92% |
1308
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
57% |
352
8.59 IPS |
