OnePlus PHP110
Geekbench AI Score
1028
Single Precision Score
1515
Half Precision Score
1256
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 07:49 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
742
137.9 IPS |
|
|
Image Classification (HP)
|
100% |
904
168.0 IPS |
|
|
Image Classification (Q)
|
97% |
1091
203.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1823
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5385
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
11044
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10501
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
99% |
945
75.0 IPS |
|
|
Object Detection (Q)
|
83% |
833
67.2 IPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (Q)
|
96% |
3221
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3285
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5557
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4549
43.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6408
8.24 IPS |
|
|
Style Transfer (HP)
|
100% |
18661
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18531
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2675
98.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2171
80.4 IPS |
|
|
Text Classification (SP)
|
35% |
13
122.7 IPS |
|
|
Text Classification (HP)
|
29% |
8
144.6 IPS |
|
|
Text Classification (Q)
|
29% |
8
138.4 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (Q)
|
43% |
120
7.00 IPS |
