OnePlus PKG110
Geekbench AI Score
2837
Single Precision Score
2762
Half Precision Score
4063
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 01:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus PKG110 |
| Model ID | OnePlus PKG110 |
| Motherboard | pineapple |
| Governor | walt |
| 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 | 10.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2206
410.3 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.4 IPS |
|
|
Image Classification (Q)
|
100% |
2724
506.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2597
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4277
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4143
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3977
4.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
8976
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
2125
169.1 IPS |
|
|
Object Detection (HP)
|
98% |
2139
170.2 IPS |
|
|
Object Detection (Q)
|
83% |
2248
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
4151
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (Q)
|
95% |
7131
85.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4193
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4070
31.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6845
62.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9764
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9681
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18305
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2097
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4940
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (HP)
|
99% |
1031
1.38 KIPS |
|
|
Text Classification (Q)
|
88% |
1515
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (Q)
|
50% |
781
27.7 IPS |
