OnePlus 13 OnePlus PJZ110
Geekbench AI Score
2426
Single Precision Score
2579
Half Precision Score
4997
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | August 30 2025 10:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1455
270.5 IPS |
|
|
Image Classification (HP)
|
100% |
1733
322.3 IPS |
|
|
Image Classification (Q)
|
100% |
3996
743.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2219
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5316
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4567
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4665
5.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
12665
15.0 IPS |
|
|
Object Detection (SP)
|
98% |
1525
121.4 IPS |
|
|
Object Detection (HP)
|
98% |
1609
128.1 IPS |
|
|
Object Detection (Q)
|
83% |
3954
319.4 IPS |
|
|
Face Detection (SP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (Q)
|
95% |
9600
114.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4068
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4034
31.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
9302
85.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10027
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10078
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26077
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2063
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6873
254.7 IPS |
|
|
Text Classification (SP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
956
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1102
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1292
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (Q)
|
50% |
518
18.4 IPS |
