Google Pixel 9 Pro XL
Geekbench AI Score
456
Single Precision Score
4880
Half Precision Score
6235
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | November 24 2024 09:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| 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% |
280
52.1 IPS |
|
|
Image Classification (HP)
|
100% |
4417
821.5 IPS |
|
|
Image Classification (Q)
|
99% |
5635
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
8746
141.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18850
306.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
31806
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
64116
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
5316
421.7 IPS |
|
|
Object Detection (Q)
|
87% |
6013
482.3 IPS |
|
|
Face Detection (SP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (HP)
|
100% |
16538
196.5 IPS |
|
|
Face Detection (Q)
|
97% |
31723
378.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
574
4.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
32409
249.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
38209
351.7 IPS |
|
|
Style Transfer (SP)
|
100% |
855
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
859
1.10 IPS |
|
|
Style Transfer (Q)
|
27% |
229
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9046
334.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15027
556.8 IPS |
|
|
Text Classification (SP)
|
100% |
454
605.5 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.7 IPS |
|
|
Text Classification (Q)
|
92% |
1164
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
447
10.9 IPS |
