Google Pixel 9 Pro XL
Geekbench AI Score
374
Single Precision Score
4498
Half Precision Score
9484
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Betancd |
| Upload Date | March 05 2025 05:10 PM |
| Views | 4 |
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% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
7230
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
8463
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
8887
144.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18216
296.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
446
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
32278
37.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
66163
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
5480
434.7 IPS |
|
|
Object Detection (Q)
|
87% |
8944
717.5 IPS |
|
|
Face Detection (SP)
|
100% |
624
7.41 IPS |
|
|
Face Detection (HP)
|
100% |
18007
214.0 IPS |
|
|
Face Detection (Q)
|
97% |
37156
443.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
551
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
35130
270.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
45185
415.9 IPS |
|
|
Style Transfer (SP)
|
100% |
822
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
764
0.98 IPS |
|
|
Style Transfer (Q)
|
73% |
3070
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
212
7.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10349
382.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19160
710.0 IPS |
|
|
Text Classification (SP)
|
100% |
183
243.7 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.6 IPS |
|
|
Text Classification (Q)
|
92% |
2343
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.82 IPS |
