Google Pixel 9 Pro XL
Geekbench AI Score
390
Single Precision Score
4579
Half Precision Score
8451
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mckbrian |
| Upload Date | February 14 2025 01:50 AM |
| Views | 17 |
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% |
271
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
4606
856.5 IPS |
|
|
Image Classification (Q)
|
99% |
7086
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
8781
142.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18540
301.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
389
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
31655
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
64740
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
5091
403.8 IPS |
|
|
Object Detection (Q)
|
87% |
8437
676.8 IPS |
|
|
Face Detection (SP)
|
100% |
546
6.48 IPS |
|
|
Face Detection (HP)
|
100% |
16500
196.1 IPS |
|
|
Face Detection (Q)
|
97% |
33045
394.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
517
3.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
32285
248.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
36814
338.9 IPS |
|
|
Style Transfer (SP)
|
100% |
715
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
712
0.91 IPS |
|
|
Style Transfer (Q)
|
73% |
3234
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9197
339.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15869
588.0 IPS |
|
|
Text Classification (SP)
|
100% |
344
459.0 IPS |
|
|
Text Classification (HP)
|
100% |
344
459.5 IPS |
|
|
Text Classification (Q)
|
92% |
1179
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (HP)
|
100% |
519
8.94 IPS |
|
|
Machine Translation (Q)
|
57% |
352
8.59 IPS |
