Google Pixel 9 Pro XL
Geekbench AI Score
344
Single Precision Score
4466
Half Precision Score
9168
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 11:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
277
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
6042
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
8818
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
346
5.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
8723
141.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19264
313.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
439
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
32304
37.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
65381
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
5652
448.3 IPS |
|
|
Object Detection (Q)
|
87% |
7781
624.2 IPS |
|
|
Face Detection (SP)
|
100% |
581
6.90 IPS |
|
|
Face Detection (HP)
|
100% |
17341
206.0 IPS |
|
|
Face Detection (Q)
|
97% |
36192
431.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
382
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
35123
270.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
42195
388.4 IPS |
|
|
Style Transfer (SP)
|
100% |
489
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
480
0.62 IPS |
|
|
Style Transfer (Q)
|
72% |
2661
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10275
379.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19417
719.5 IPS |
|
|
Text Classification (SP)
|
100% |
268
358.2 IPS |
|
|
Text Classification (HP)
|
100% |
268
357.8 IPS |
|
|
Text Classification (Q)
|
92% |
2314
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.51 IPS |
