OnePlus 13 OnePlus PJZ110
Geekbench AI Score
2529
Single Precision Score
3976
Half Precision Score
3284
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | August 30 2025 10:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PJZ110 |
| Model ID | OnePlus PJZ110 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1613
300.0 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (Q)
|
100% |
2001
372.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2747
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4737
76.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4445
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12651
14.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
23024
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22277
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (HP)
|
99% |
2015
159.8 IPS |
|
|
Object Detection (Q)
|
85% |
1869
150.5 IPS |
|
|
Face Detection (SP)
|
100% |
5199
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
9176
109.0 IPS |
|
|
Face Detection (Q)
|
97% |
7521
89.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6510
50.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8921
68.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
6886
67.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16022
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35338
45.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33935
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3430
126.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5174
191.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5090
188.6 IPS |
|
|
Text Classification (SP)
|
35% |
71
689.7 IPS |
|
|
Text Classification (HP)
|
35% |
80
730.6 IPS |
|
|
Text Classification (Q)
|
33% |
67
750.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1664
28.7 IPS |
|
|
Machine Translation (Q)
|
48% |
659
25.3 IPS |
