OnePlus 13T OnePlus PKX110
Geekbench AI Score
2431
Single Precision Score
2376
Half Precision Score
4348
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | mc1819 |
| Upload Date | August 03 2025 06:46 AM |
| Views | 22 |
| Notes | Change the device name |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PKX110 |
| Model ID | OnePlus PKX110 |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1569
291.7 IPS |
|
|
Image Classification (HP)
|
100% |
1530
284.4 IPS |
|
|
Image Classification (Q)
|
100% |
3272
608.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4795
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4632
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4608
5.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
11353
13.5 IPS |
|
|
Object Detection (SP)
|
98% |
1455
115.8 IPS |
|
|
Object Detection (HP)
|
98% |
1436
114.3 IPS |
|
|
Object Detection (Q)
|
83% |
3105
250.8 IPS |
|
|
Face Detection (SP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (Q)
|
95% |
9087
108.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3928
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3756
29.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8303
76.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9942
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9662
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22924
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2051
75.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5253
194.6 IPS |
|
|
Text Classification (SP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
823
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
975
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
494
17.5 IPS |
