OnePlus PKX110
Geekbench AI Score
1191
Single Precision Score
1828
Half Precision Score
1924
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 03:08 PM |
| Views | 3 |
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% |
695
129.2 IPS |
|
|
Image Classification (HP)
|
100% |
853
158.6 IPS |
|
|
Image Classification (Q)
|
99% |
952
177.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2539
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1628
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2788
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
2785
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (HP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (Q)
|
86% |
1294
104.0 IPS |
|
|
Face Detection (SP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
3870
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1570
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4579
35.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3766
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5798
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
12401
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12352
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
654
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2152
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2111
78.2 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.3 IPS |
|
|
Text Classification (HP)
|
100% |
502
670.7 IPS |
|
|
Text Classification (Q)
|
91% |
778
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (Q)
|
57% |
271
6.62 IPS |
