Google Pixel 9 Pro XL
Geekbench AI Score
1104
Single Precision Score
1694
Half Precision Score
1243
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | jeradhill |
| Upload Date | September 03 2025 03:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
649
120.7 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.7 IPS |
|
|
Image Classification (Q)
|
97% |
414
77.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2293
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5326
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
13621
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12913
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (HP)
|
99% |
1010
80.1 IPS |
|
|
Object Detection (Q)
|
83% |
1058
85.4 IPS |
|
|
Face Detection (SP)
|
100% |
2517
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (Q)
|
96% |
3013
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3666
28.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6202
47.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4846
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8066
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21556
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20298
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2291
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2139
79.3 IPS |
|
|
Text Classification (SP)
|
35% |
21
188.4 IPS |
|
|
Text Classification (HP)
|
35% |
30
272.9 IPS |
|
|
Text Classification (Q)
|
32% |
14
185.0 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.48 IPS |
