OnePlus PKG110
Geekbench AI Score
965
Single Precision Score
1449
Half Precision Score
1324
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 05 2025 08:06 AM |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
589
109.6 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.1 IPS |
|
|
Image Classification (Q)
|
96% |
549
102.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1089
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1092
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2559
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2546
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
87% |
1044
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3177
37.8 IPS |
|
|
Face Detection (Q)
|
97% |
2356
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1828
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3775
29.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2959
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6749
8.68 IPS |
|
|
Style Transfer (HP)
|
100% |
10824
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10686
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1491
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
200
266.3 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.2 IPS |
|
|
Text Classification (Q)
|
91% |
324
435.6 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.08 IPS |
