OnePlus PKG110
Geekbench AI Score
1974
Single Precision Score
2098
Half Precision Score
2940
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 02:42 PM |
| Views | 1 |
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 | powersave |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1482
275.6 IPS |
|
|
Image Classification (HP)
|
100% |
1889
351.2 IPS |
|
|
Image Classification (Q)
|
100% |
2566
477.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1367
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2394
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2351
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
5090
6.04 IPS |
|
|
Object Detection (SP)
|
98% |
1414
112.5 IPS |
|
|
Object Detection (HP)
|
98% |
1718
136.7 IPS |
|
|
Object Detection (Q)
|
83% |
2330
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3434
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (Q)
|
95% |
5135
61.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2261
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2584
20.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4102
37.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6636
8.61 IPS |
|
|
Style Transfer (HP)
|
89% |
6859
8.90 IPS |
|
|
Style Transfer (Q)
|
98% |
14081
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4615
171.0 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.2 IPS |
|
|
Text Classification (HP)
|
99% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
1243
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
682
24.2 IPS |
