Google Pixel 9 Pro XL
Geekbench AI Score
376
Single Precision Score
4495
Half Precision Score
9031
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 01:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
283
52.6 IPS |
|
|
Image Classification (HP)
|
100% |
6546
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
8846
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
8333
135.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17650
287.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
459
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
32223
37.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
65536
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
5601
444.2 IPS |
|
|
Object Detection (Q)
|
87% |
7367
590.9 IPS |
|
|
Face Detection (SP)
|
100% |
645
7.66 IPS |
|
|
Face Detection (HP)
|
100% |
17790
211.4 IPS |
|
|
Face Detection (Q)
|
97% |
36281
432.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
554
4.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
35409
272.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
42961
395.5 IPS |
|
|
Style Transfer (SP)
|
100% |
850
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
747
0.96 IPS |
|
|
Style Transfer (Q)
|
72% |
2844
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10194
376.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18557
687.6 IPS |
|
|
Text Classification (SP)
|
100% |
182
242.4 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.8 IPS |
|
|
Text Classification (Q)
|
92% |
2035
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.99 IPS |
