OnePlus OPD2415
Geekbench AI Score
2755
Single Precision Score
4485
Half Precision Score
3691
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 09:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1849
343.9 IPS |
|
|
Image Classification (HP)
|
100% |
3064
569.8 IPS |
|
|
Image Classification (Q)
|
100% |
2426
451.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3354
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6366
103.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5938
96.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12797
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23280
27.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22591
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
2199
174.4 IPS |
|
|
Object Detection (Q)
|
85% |
2077
167.2 IPS |
|
|
Face Detection (SP)
|
100% |
5447
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
10192
121.1 IPS |
|
|
Face Detection (Q)
|
97% |
8138
97.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6614
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9087
70.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7102
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15802
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36578
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36581
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5901
217.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5754
213.2 IPS |
|
|
Text Classification (SP)
|
35% |
94
920.2 IPS |
|
|
Text Classification (HP)
|
35% |
91
826.0 IPS |
|
|
Text Classification (Q)
|
33% |
76
846.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1814
31.3 IPS |
|
|
Machine Translation (Q)
|
48% |
752
28.9 IPS |
