Google Pixel 9 Pro XL
Geekbench AI Score
325
Single Precision Score
4045
Half Precision Score
8291
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 08:05 AM |
| Views | 2 |
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% |
269
49.9 IPS |
|
|
Image Classification (HP)
|
100% |
5114
951.1 IPS |
|
|
Image Classification (Q)
|
99% |
6267
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
325
5.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
8192
132.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18355
298.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
320
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
31398
36.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62828
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
4966
393.9 IPS |
|
|
Object Detection (Q)
|
87% |
6493
520.9 IPS |
|
|
Face Detection (SP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (HP)
|
100% |
15081
179.2 IPS |
|
|
Face Detection (Q)
|
97% |
44267
527.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
464
3.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
32517
250.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
38268
352.3 IPS |
|
|
Style Transfer (SP)
|
100% |
574
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (Q)
|
73% |
2892
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8627
318.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17106
633.9 IPS |
|
|
Text Classification (SP)
|
100% |
199
266.2 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.6 IPS |
|
|
Text Classification (Q)
|
92% |
1361
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
494
8.52 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.02 IPS |
