Google Pixel 9 Pro XL
Geekbench AI Score
1106
Single Precision Score
1745
Half Precision Score
1303
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 01:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
690
128.4 IPS |
|
|
Image Classification (HP)
|
100% |
801
148.9 IPS |
|
|
Image Classification (Q)
|
97% |
572
106.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2202
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4982
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13235
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12655
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (HP)
|
99% |
1011
80.2 IPS |
|
|
Object Detection (Q)
|
83% |
1052
84.9 IPS |
|
|
Face Detection (SP)
|
100% |
2696
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (Q)
|
96% |
2843
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3673
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6040
46.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4860
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8133
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21582
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20173
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2465
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2286
84.7 IPS |
|
|
Text Classification (SP)
|
35% |
21
192.2 IPS |
|
|
Text Classification (HP)
|
35% |
27
243.9 IPS |
|
|
Text Classification (Q)
|
32% |
16
204.2 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.64 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (Q)
|
43% |
83
4.80 IPS |
