OnePlus PHP110
Geekbench AI Score
1009
Single Precision Score
1065
Half Precision Score
2075
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 07:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus PHP110 |
| Model ID | OnePlus PHP110 |
| Motherboard | k6983v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 11.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
271
50.4 IPS |
|
|
Image Classification (HP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (Q)
|
100% |
1671
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1648
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1884
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1833
2.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
4591
5.45 IPS |
|
|
Object Detection (SP)
|
98% |
661
52.6 IPS |
|
|
Object Detection (HP)
|
98% |
708
56.4 IPS |
|
|
Object Detection (Q)
|
83% |
1251
101.1 IPS |
|
|
Face Detection (SP)
|
100% |
1432
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (Q)
|
95% |
3426
40.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1720
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1669
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3547
32.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4366
5.67 IPS |
|
|
Style Transfer (HP)
|
89% |
4369
5.67 IPS |
|
|
Style Transfer (Q)
|
98% |
10172
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2586
95.8 IPS |
|
|
Text Classification (SP)
|
100% |
448
597.3 IPS |
|
|
Text Classification (HP)
|
99% |
395
527.6 IPS |
|
|
Text Classification (Q)
|
88% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
