OnePlus PKG110
Geekbench AI Score
2631
Single Precision Score
2605
Half Precision Score
4249
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 05:05 PM |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1829
340.1 IPS |
|
|
Image Classification (HP)
|
100% |
1829
340.2 IPS |
|
|
Image Classification (Q)
|
100% |
3206
596.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3890
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4372
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4093
4.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
8853
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1947
154.9 IPS |
|
|
Object Detection (HP)
|
98% |
1938
154.2 IPS |
|
|
Object Detection (Q)
|
83% |
3073
248.2 IPS |
|
|
Face Detection (SP)
|
100% |
3782
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
3805
45.2 IPS |
|
|
Face Detection (Q)
|
95% |
6613
79.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3730
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3781
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6709
61.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9867
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9815
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19579
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2041
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5126
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (HP)
|
99% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1460
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (Q)
|
50% |
870
30.9 IPS |
