Google Pixel 9 Pro XL
Geekbench AI Score
369
Single Precision Score
4823
Half Precision Score
10155
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Betancd |
| Upload Date | March 21 2025 01:50 AM |
| Views | 4 |
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% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
7753
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
10524
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
10348
167.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
23279
378.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
420
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
32716
38.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
66109
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
6169
489.3 IPS |
|
|
Object Detection (Q)
|
87% |
9341
749.3 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
21806
259.1 IPS |
|
|
Face Detection (Q)
|
97% |
40446
482.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
530
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
37979
292.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
47925
441.2 IPS |
|
|
Style Transfer (SP)
|
100% |
796
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
568
0.73 IPS |
|
|
Style Transfer (Q)
|
73% |
2638
3.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
232
8.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10476
386.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19413
719.3 IPS |
|
|
Text Classification (SP)
|
100% |
183
243.9 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.6 IPS |
|
|
Text Classification (Q)
|
92% |
2557
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
57% |
304
7.44 IPS |
