Google Pixel 9 Pro XL
Geekbench AI Score
2094
Single Precision Score
2123
Half Precision Score
3189
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 12:41 AM |
| Views | 1 |
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% |
1432
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
1587
295.1 IPS |
|
|
Image Classification (Q)
|
100% |
2339
435.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2450
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2965
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3025
3.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
6740
7.99 IPS |
|
|
Object Detection (SP)
|
98% |
1465
116.6 IPS |
|
|
Object Detection (HP)
|
98% |
1611
128.2 IPS |
|
|
Object Detection (Q)
|
83% |
2243
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
5096
60.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3359
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3356
25.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5173
47.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7579
9.84 IPS |
|
|
Style Transfer (HP)
|
89% |
7434
9.65 IPS |
|
|
Style Transfer (Q)
|
98% |
14658
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3598
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
703
938.8 IPS |
|
|
Text Classification (HP)
|
99% |
701
935.3 IPS |
|
|
Text Classification (Q)
|
88% |
1188
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1586
27.3 IPS |
|
|
Machine Translation (Q)
|
50% |
761
27.0 IPS |
