OnePlus PKG110
Geekbench AI Score
2471
Single Precision Score
2588
Half Precision Score
4122
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 04:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PKG110 |
| Model ID | OnePlus PKG110 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1122
208.6 IPS |
|
|
Image Classification (HP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (Q)
|
100% |
3243
603.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3651
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4077
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3772
4.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
8670
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1905
151.6 IPS |
|
|
Object Detection (HP)
|
98% |
1961
156.1 IPS |
|
|
Object Detection (Q)
|
83% |
2768
223.6 IPS |
|
|
Face Detection (SP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
3827
45.5 IPS |
|
|
Face Detection (Q)
|
95% |
6710
80.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3842
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3648
28.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6512
59.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9318
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9170
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18522
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4917
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
951
1.27 KIPS |
|
|
Text Classification (Q)
|
88% |
1467
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (Q)
|
50% |
855
30.3 IPS |
