Google Pixel 9 Pro XL
Geekbench AI Score
1142
Single Precision Score
1775
Half Precision Score
1302
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | February 08 2026 12:43 PM |
| Views | 6 |
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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
684
127.2 IPS |
|
|
Image Classification (HP)
|
100% |
772
143.7 IPS |
|
|
Image Classification (Q)
|
97% |
500
93.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2226
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5276
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
13041
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12556
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
620
49.1 IPS |
|
|
Object Detection (HP)
|
99% |
1084
86.0 IPS |
|
|
Object Detection (Q)
|
83% |
1056
85.3 IPS |
|
|
Face Detection (SP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (Q)
|
96% |
2785
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3688
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6474
50.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4991
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8063
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21224
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20248
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2482
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2290
84.9 IPS |
|
|
Text Classification (SP)
|
35% |
23
205.6 IPS |
|
|
Text Classification (HP)
|
35% |
28
253.5 IPS |
|
|
Text Classification (Q)
|
32% |
20
255.0 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.33 IPS |
