Google Pixel 9 Pro XL
Geekbench AI Score
397
Single Precision Score
4471
Half Precision Score
6011
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 07 2024 10:23 PM |
| Views | 12 |
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% |
4403
818.9 IPS |
|
|
Image Classification (Q)
|
99% |
5961
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
9552
154.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19112
310.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
447
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
31967
37.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
64086
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
5129
406.8 IPS |
|
|
Object Detection (Q)
|
87% |
6529
523.7 IPS |
|
|
Face Detection (SP)
|
100% |
643
7.64 IPS |
|
|
Face Detection (HP)
|
100% |
16598
197.2 IPS |
|
|
Face Detection (Q)
|
97% |
32815
391.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
550
4.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
34019
262.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
37874
348.6 IPS |
|
|
Style Transfer (SP)
|
100% |
826
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
798
1.03 IPS |
|
|
Style Transfer (Q)
|
27% |
215
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9125
336.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14810
548.8 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.6 IPS |
|
|
Text Classification (HP)
|
100% |
283
377.3 IPS |
|
|
Text Classification (Q)
|
92% |
1154
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.93 IPS |
