Google Pixel 9 Pro XL
Geekbench AI Score
2023
Single Precision Score
2046
Half Precision Score
3106
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mckbrian |
| Upload Date | February 14 2025 02:02 AM |
| 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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
1563
290.7 IPS |
|
|
Image Classification (Q)
|
100% |
2301
427.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2404
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3013
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2955
3.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
6479
7.68 IPS |
|
|
Object Detection (SP)
|
98% |
1417
112.8 IPS |
|
|
Object Detection (HP)
|
98% |
1423
113.2 IPS |
|
|
Object Detection (Q)
|
83% |
2237
180.7 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
4610
55.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3194
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3172
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4930
45.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7161
9.30 IPS |
|
|
Style Transfer (HP)
|
89% |
7105
9.22 IPS |
|
|
Style Transfer (Q)
|
98% |
13868
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3498
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
685
913.7 IPS |
|
|
Text Classification (HP)
|
99% |
731
975.6 IPS |
|
|
Text Classification (Q)
|
88% |
1288
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1431
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
736
26.1 IPS |
