Google Pixel 9 Pro XL
Geekbench AI Score
1436
Single Precision Score
1429
Half Precision Score
2113
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | karlfoley |
| Upload Date | December 06 2024 06:55 PM |
| Views | 4 |
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% |
1270
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
1285
239.0 IPS |
|
|
Image Classification (Q)
|
100% |
1872
348.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1719
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2031
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2000
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
4603
5.46 IPS |
|
|
Object Detection (SP)
|
98% |
941
74.8 IPS |
|
|
Object Detection (HP)
|
98% |
960
76.4 IPS |
|
|
Object Detection (Q)
|
83% |
1293
104.5 IPS |
|
|
Face Detection (SP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2093
24.9 IPS |
|
|
Face Detection (Q)
|
95% |
3253
38.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2129
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2132
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3407
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5067
6.58 IPS |
|
|
Style Transfer (HP)
|
89% |
5181
6.73 IPS |
|
|
Style Transfer (Q)
|
98% |
9871
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1077
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2338
86.6 IPS |
|
|
Text Classification (SP)
|
100% |
466
621.5 IPS |
|
|
Text Classification (HP)
|
99% |
446
594.7 IPS |
|
|
Text Classification (Q)
|
88% |
765
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
