OnePlus PKX110
Geekbench AI Score
2078
Single Precision Score
2045
Half Precision Score
3568
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | April 30 2025 02:48 PM |
| Views | 4 |
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 | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (Q)
|
100% |
2666
495.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4062
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4432
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4327
5.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
10437
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
1301
103.5 IPS |
|
|
Object Detection (HP)
|
98% |
1314
104.6 IPS |
|
|
Object Detection (Q)
|
83% |
2932
236.8 IPS |
|
|
Face Detection (SP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (Q)
|
95% |
6297
75.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3679
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2951
22.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7980
73.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8171
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8303
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19528
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1807
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4182
154.9 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.0 IPS |
|
|
Text Classification (HP)
|
99% |
583
778.8 IPS |
|
|
Text Classification (Q)
|
88% |
642
865.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
384
13.6 IPS |
