Google Pixel 9 Pro XL
Geekbench AI Score
387
Single Precision Score
4689
Half Precision Score
8579
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 05:22 PM |
| Views | 7 |
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 | 15.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
6466
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
8953
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
8728
141.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18877
307.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
432
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
32097
37.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
65453
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
5573
442.0 IPS |
|
|
Object Detection (Q)
|
87% |
7687
616.7 IPS |
|
|
Face Detection (SP)
|
100% |
615
7.31 IPS |
|
|
Face Detection (HP)
|
100% |
15400
183.0 IPS |
|
|
Face Detection (Q)
|
97% |
28234
336.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
545
4.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
34912
269.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
41919
385.9 IPS |
|
|
Style Transfer (SP)
|
100% |
805
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
793
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
1720
2.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10359
382.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19836
735.0 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.3 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.2 IPS |
|
|
Text Classification (Q)
|
92% |
2271
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (Q)
|
57% |
277
6.77 IPS |
