Google Pixel 9 Pro XL
Geekbench AI Score
2029
Single Precision Score
2035
Half Precision Score
3111
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mattyysb |
| Upload Date | March 21 2025 08:42 AM |
| Views | 6 |
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% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
1594
296.4 IPS |
|
|
Image Classification (Q)
|
100% |
2311
429.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2520
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2941
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2828
3.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
6256
7.42 IPS |
|
|
Object Detection (SP)
|
98% |
1445
115.0 IPS |
|
|
Object Detection (HP)
|
98% |
1451
115.4 IPS |
|
|
Object Detection (Q)
|
83% |
2120
171.3 IPS |
|
|
Face Detection (SP)
|
100% |
2957
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (Q)
|
95% |
5014
59.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3142
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3089
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5070
46.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6904
8.96 IPS |
|
|
Style Transfer (HP)
|
89% |
6918
8.98 IPS |
|
|
Style Transfer (Q)
|
98% |
13541
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3648
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
714
953.4 IPS |
|
|
Text Classification (HP)
|
99% |
713
952.3 IPS |
|
|
Text Classification (Q)
|
88% |
1305
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1559
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
672
23.9 IPS |
