Google Pixel 9 Pro XL
Geekbench AI Score
411
Single Precision Score
5034
Half Precision Score
9455
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | May 11 2025 05:30 PM |
| Views | 7 |
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% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
6681
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
10310
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
10683
173.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17574
285.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
31992
37.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
65939
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
5564
441.3 IPS |
|
|
Object Detection (Q)
|
87% |
7474
599.5 IPS |
|
|
Face Detection (SP)
|
100% |
651
7.74 IPS |
|
|
Face Detection (HP)
|
100% |
17062
202.7 IPS |
|
|
Face Detection (Q)
|
97% |
30354
361.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
568
4.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
37017
285.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
43529
400.7 IPS |
|
|
Style Transfer (SP)
|
100% |
846
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
849
1.09 IPS |
|
|
Style Transfer (Q)
|
73% |
2943
4.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
250
9.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10226
377.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19002
704.1 IPS |
|
|
Text Classification (SP)
|
100% |
302
403.1 IPS |
|
|
Text Classification (HP)
|
100% |
306
407.8 IPS |
|
|
Text Classification (Q)
|
92% |
2546
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (Q)
|
57% |
340
8.30 IPS |
