Google Pixel 9 Pro XL
Geekbench AI Score
307
Single Precision Score
4578
Half Precision Score
9657
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 12:10 PM |
| Views | 4 |
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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
7190
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
12559
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
8807
142.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18416
299.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
31862
37.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
65244
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
5377
426.5 IPS |
|
|
Object Detection (Q)
|
87% |
8146
653.4 IPS |
|
|
Face Detection (SP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (HP)
|
100% |
14538
172.7 IPS |
|
|
Face Detection (Q)
|
97% |
34698
413.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
35144
270.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
46712
430.0 IPS |
|
|
Style Transfer (SP)
|
100% |
531
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
532
0.68 IPS |
|
|
Style Transfer (Q)
|
72% |
3001
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
200
7.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10445
385.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18930
701.4 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.5 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.6 IPS |
|
|
Text Classification (Q)
|
92% |
2220
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.50 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.87 IPS |
