OnePlus OPD2415
Geekbench AI Score
272
Single Precision Score
25179
Half Precision Score
55396
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | August 05 2025 10:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
321
59.6 IPS |
|
|
Image Classification (HP)
|
100% |
20723
3.85 KIPS |
|
|
Image Classification (Q)
|
97% |
49778
9.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
11853
192.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
37674
612.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
121792
142.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
469765
549.8 IPS |
|
|
Object Detection (SP)
|
100% |
126
9.97 IPS |
|
|
Object Detection (HP)
|
100% |
16618
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
18935
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
35113
417.2 IPS |
|
|
Face Detection (Q)
|
97% |
100401
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
300
2.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
80585
620.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
137185
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
564
0.72 IPS |
|
|
Style Transfer (HP)
|
98% |
97689
126.0 IPS |
|
|
Style Transfer (Q)
|
98% |
485346
625.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51250
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124378
4.61 KIPS |
|
|
Text Classification (SP)
|
100% |
186
248.1 IPS |
|
|
Text Classification (HP)
|
100% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7874
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (HP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2492
64.2 IPS |
