Google Pixel 9 Pro XL
Geekbench AI Score
364
Single Precision Score
4332
Half Precision Score
8199
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | jeradhill |
| Upload Date | September 03 2025 03:22 AM |
| 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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
280
52.2 IPS |
|
|
Image Classification (HP)
|
100% |
5008
931.4 IPS |
|
|
Image Classification (Q)
|
99% |
9131
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
8671
140.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17515
284.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
440
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
31532
36.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63357
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
4745
376.4 IPS |
|
|
Object Detection (Q)
|
87% |
7039
564.7 IPS |
|
|
Face Detection (SP)
|
100% |
597
7.10 IPS |
|
|
Face Detection (HP)
|
100% |
15825
188.0 IPS |
|
|
Face Detection (Q)
|
97% |
31294
373.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
35064
270.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
36497
336.0 IPS |
|
|
Style Transfer (SP)
|
100% |
554
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
522
0.67 IPS |
|
|
Style Transfer (Q)
|
72% |
2602
3.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8515
314.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14786
547.9 IPS |
|
|
Text Classification (SP)
|
100% |
301
401.5 IPS |
|
|
Text Classification (HP)
|
100% |
331
441.7 IPS |
|
|
Text Classification (Q)
|
92% |
1312
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (Q)
|
57% |
334
8.15 IPS |
