Google Pixel 9 Pro XL
Geekbench AI Score
340
Single Precision Score
4678
Half Precision Score
9317
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 09:23 AM |
| Views | 1 |
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% |
272
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
6351
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
9290
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
8919
144.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19008
309.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
379
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
32201
37.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
65607
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
5778
458.3 IPS |
|
|
Object Detection (Q)
|
87% |
7730
620.1 IPS |
|
|
Face Detection (SP)
|
100% |
526
6.25 IPS |
|
|
Face Detection (HP)
|
100% |
17162
203.9 IPS |
|
|
Face Detection (Q)
|
97% |
29825
355.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
473
3.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
35103
270.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
42262
389.0 IPS |
|
|
Style Transfer (SP)
|
100% |
647
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
565
0.73 IPS |
|
|
Style Transfer (Q)
|
73% |
2917
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
218
8.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10516
388.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19288
714.7 IPS |
|
|
Text Classification (SP)
|
100% |
192
255.6 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.8 IPS |
|
|
Text Classification (Q)
|
92% |
2332
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
439
7.55 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (Q)
|
57% |
333
8.14 IPS |
