Google Pixel 9 Pro XL
Geekbench AI Score
372
Single Precision Score
4920
Half Precision Score
9524
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 02:58 PM |
| 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% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
6406
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
9510
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
8841
143.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20593
334.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
354
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
32237
37.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
65595
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
5708
452.8 IPS |
|
|
Object Detection (Q)
|
87% |
7337
588.6 IPS |
|
|
Face Detection (SP)
|
100% |
583
6.93 IPS |
|
|
Face Detection (HP)
|
100% |
17467
207.5 IPS |
|
|
Face Detection (Q)
|
97% |
31251
372.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
490
3.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
35594
274.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
43887
404.0 IPS |
|
|
Style Transfer (SP)
|
100% |
714
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
711
0.91 IPS |
|
|
Style Transfer (Q)
|
73% |
3057
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10678
394.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18866
699.1 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.3 IPS |
|
|
Text Classification (HP)
|
100% |
333
444.0 IPS |
|
|
Text Classification (Q)
|
92% |
2290
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.76 IPS |
|
|
Machine Translation (Q)
|
57% |
360
8.79 IPS |
