Google Pixel 9 Pro XL
Geekbench AI Score
1139
Single Precision Score
1734
Half Precision Score
1300
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:28 AM |
| Views | 14 |
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% |
685
127.5 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.6 IPS |
|
|
Image Classification (Q)
|
97% |
513
95.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2250
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5305
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
13258
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12564
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (HP)
|
99% |
1082
85.8 IPS |
|
|
Object Detection (Q)
|
83% |
1035
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (Q)
|
96% |
3015
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3685
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6443
49.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
5014
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8094
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21459
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20052
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1938
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2467
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2345
86.9 IPS |
|
|
Text Classification (SP)
|
35% |
21
192.0 IPS |
|
|
Text Classification (HP)
|
35% |
27
242.3 IPS |
|
|
Text Classification (Q)
|
32% |
18
238.0 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.42 IPS |
|
|
Machine Translation (Q)
|
43% |
72
4.21 IPS |
