OnePlus OPD2415
Geekbench AI Score
2630
Single Precision Score
4139
Half Precision Score
3432
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | November 22 2025 10:22 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus OPD2415 |
| Model ID | OnePlus OPD2415 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 15.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1747
325.0 IPS |
|
|
Image Classification (HP)
|
100% |
2308
429.2 IPS |
|
|
Image Classification (Q)
|
100% |
2032
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3081
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6393
103.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5218
84.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12929
15.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23191
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22691
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
1989
157.8 IPS |
|
|
Object Detection (Q)
|
85% |
1986
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
5389
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
9526
113.2 IPS |
|
|
Face Detection (Q)
|
97% |
8288
98.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6662
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9140
70.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
7125
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15990
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34962
44.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34725
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3530
130.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5330
196.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5629
208.6 IPS |
|
|
Text Classification (SP)
|
35% |
71
691.6 IPS |
|
|
Text Classification (HP)
|
35% |
75
685.0 IPS |
|
|
Text Classification (Q)
|
33% |
57
642.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1782
30.7 IPS |
|
|
Machine Translation (Q)
|
48% |
722
27.7 IPS |
