OnePlus PKX110
Geekbench AI Score
1018
Single Precision Score
1893
Half Precision Score
1872
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | April 30 2025 02:41 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
700
130.1 IPS |
|
|
Image Classification (HP)
|
100% |
1657
308.2 IPS |
|
|
Image Classification (Q)
|
99% |
1355
252.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3348
54.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2304
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1622
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2781
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
2781
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (Q)
|
86% |
1305
104.8 IPS |
|
|
Face Detection (SP)
|
100% |
2910
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (Q)
|
97% |
5035
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1560
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4576
35.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3778
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5790
7.44 IPS |
|
|
Style Transfer (HP)
|
100% |
12364
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12268
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2108
78.1 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.6 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.7 IPS |
|
|
Text Classification (Q)
|
91% |
334
448.5 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
57% |
284
6.94 IPS |
