Google Pixel 9 Pro XL
Geekbench AI Score
363
Single Precision Score
4758
Half Precision Score
9476
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:37 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
271
50.4 IPS |
|
|
Image Classification (HP)
|
100% |
6821
1.27 KIPS |
|
|
Image Classification (Q)
|
99% |
10695
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
8879
143.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18764
305.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
396
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31954
37.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
65259
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
5423
430.1 IPS |
|
|
Object Detection (Q)
|
87% |
7797
625.5 IPS |
|
|
Face Detection (SP)
|
100% |
551
6.54 IPS |
|
|
Face Detection (HP)
|
100% |
17104
203.2 IPS |
|
|
Face Detection (Q)
|
97% |
29789
355.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
474
3.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
34589
266.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
42290
389.3 IPS |
|
|
Style Transfer (SP)
|
100% |
676
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
615
0.79 IPS |
|
|
Style Transfer (Q)
|
72% |
3113
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10326
381.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19421
719.6 IPS |
|
|
Text Classification (SP)
|
100% |
212
282.9 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.4 IPS |
|
|
Text Classification (Q)
|
92% |
2393
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
512
8.81 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
57% |
314
7.67 IPS |
