Google Pixel 9 Pro XL
Geekbench AI Score
2080
Single Precision Score
2036
Half Precision Score
3111
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | timbro |
| Upload Date | November 17 2024 03:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1539
286.3 IPS |
|
|
Image Classification (HP)
|
100% |
1466
272.7 IPS |
|
|
Image Classification (Q)
|
100% |
2361
439.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2441
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2959
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2874
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
6460
7.66 IPS |
|
|
Object Detection (SP)
|
98% |
1554
123.7 IPS |
|
|
Object Detection (HP)
|
98% |
1565
124.6 IPS |
|
|
Object Detection (Q)
|
83% |
2296
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (Q)
|
95% |
4797
57.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3091
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3075
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5083
46.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7238
9.40 IPS |
|
|
Style Transfer (HP)
|
89% |
7131
9.26 IPS |
|
|
Style Transfer (Q)
|
98% |
13777
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1583
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3502
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.7 IPS |
|
|
Text Classification (HP)
|
99% |
691
922.7 IPS |
|
|
Text Classification (Q)
|
88% |
1151
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (Q)
|
50% |
735
26.1 IPS |
