OnePlus PKG110
Geekbench AI Score
910
Single Precision Score
1274
Half Precision Score
1289
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 05:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
96% |
486
90.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1306
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2559
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2533
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
816
64.7 IPS |
|
|
Object Detection (Q)
|
87% |
812
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
1779
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
1796
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1813
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3570
27.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2953
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6742
8.67 IPS |
|
|
Style Transfer (HP)
|
100% |
10825
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10558
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1478
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.1 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.7 IPS |
|
|
Text Classification (Q)
|
91% |
325
436.9 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (Q)
|
57% |
363
8.86 IPS |
