Google Pixel 9 Pro XL
Geekbench AI Score
1428
Single Precision Score
1391
Half Precision Score
2039
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | velilev |
| Upload Date | December 18 2024 09:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
1489
276.8 IPS |
|
|
Image Classification (Q)
|
100% |
2254
419.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2423
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2700
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2692
3.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
6066
7.19 IPS |
|
|
Object Detection (SP)
|
98% |
1282
102.0 IPS |
|
|
Object Detection (HP)
|
98% |
1197
95.3 IPS |
|
|
Object Detection (Q)
|
83% |
1932
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
2358
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2420
28.8 IPS |
|
|
Face Detection (Q)
|
95% |
3520
42.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2321
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2089
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3012
27.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5002
6.49 IPS |
|
|
Style Transfer (HP)
|
89% |
4409
5.72 IPS |
|
|
Style Transfer (Q)
|
98% |
6907
8.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1702
63.1 IPS |
|
|
Text Classification (SP)
|
100% |
313
417.4 IPS |
|
|
Text Classification (HP)
|
99% |
312
416.3 IPS |
|
|
Text Classification (Q)
|
88% |
508
685.7 IPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
307
10.9 IPS |
