Google Pixel 9 Pro XL
Geekbench AI Score
392
Single Precision Score
4569
Half Precision Score
7913
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 19 2025 06:57 AM |
| Views | 1 |
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% |
263
48.8 IPS |
|
|
Image Classification (HP)
|
100% |
4719
877.6 IPS |
|
|
Image Classification (Q)
|
99% |
5810
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
8298
134.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16988
276.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
388
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
31604
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
63893
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
4870
386.3 IPS |
|
|
Object Detection (Q)
|
87% |
6597
529.2 IPS |
|
|
Face Detection (SP)
|
100% |
572
6.80 IPS |
|
|
Face Detection (HP)
|
100% |
18277
217.2 IPS |
|
|
Face Detection (Q)
|
97% |
32932
392.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
517
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
31520
242.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
37161
342.1 IPS |
|
|
Style Transfer (SP)
|
100% |
736
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
707
0.91 IPS |
|
|
Style Transfer (Q)
|
72% |
3056
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8992
332.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15238
564.6 IPS |
|
|
Text Classification (SP)
|
100% |
333
443.9 IPS |
|
|
Text Classification (HP)
|
100% |
343
458.3 IPS |
|
|
Text Classification (Q)
|
92% |
1224
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.02 IPS |
|
|
Machine Translation (Q)
|
57% |
332
8.12 IPS |
