Google Pixel 9 Pro XL
Geekbench AI Score
1127
Single Precision Score
1757
Half Precision Score
1285
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 10:43 PM |
| Views | 1 |
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% |
707
131.5 IPS |
|
|
Image Classification (HP)
|
100% |
856
159.3 IPS |
|
|
Image Classification (Q)
|
97% |
464
86.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2217
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5295
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13306
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12643
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.6 IPS |
|
|
Object Detection (HP)
|
99% |
1085
86.1 IPS |
|
|
Object Detection (Q)
|
83% |
1038
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (Q)
|
96% |
3063
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3697
28.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6387
49.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
5008
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8103
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21320
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20366
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2467
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2294
85.0 IPS |
|
|
Text Classification (SP)
|
35% |
18
167.3 IPS |
|
|
Text Classification (HP)
|
35% |
27
241.0 IPS |
|
|
Text Classification (Q)
|
32% |
18
236.7 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.33 IPS |
|
|
Machine Translation (Q)
|
43% |
71
4.15 IPS |
