Google Pixel 9 Pro XL
Geekbench AI Score
331
Single Precision Score
4357
Half Precision Score
9420
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 04:16 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% |
263
48.9 IPS |
|
|
Image Classification (HP)
|
100% |
6844
1.27 KIPS |
|
|
Image Classification (Q)
|
99% |
12308
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
8195
132.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18755
305.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
393
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31420
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
65955
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
6279
498.0 IPS |
|
|
Object Detection (Q)
|
87% |
8276
663.8 IPS |
|
|
Face Detection (SP)
|
100% |
550
6.54 IPS |
|
|
Face Detection (HP)
|
100% |
16099
191.3 IPS |
|
|
Face Detection (Q)
|
97% |
33525
399.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
487
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
34979
269.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
46387
427.0 IPS |
|
|
Style Transfer (SP)
|
100% |
501
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
508
0.65 IPS |
|
|
Style Transfer (Q)
|
73% |
2479
3.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10232
377.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19034
705.3 IPS |
|
|
Text Classification (SP)
|
100% |
189
251.6 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.5 IPS |
|
|
Text Classification (Q)
|
92% |
2280
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (Q)
|
57% |
261
6.38 IPS |
