OnePlus OPD2415
Geekbench AI Score
2005
Single Precision Score
2473
Half Precision Score
4280
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 04:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 15.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
1695
315.1 IPS |
|
|
Image Classification (Q)
|
100% |
3917
728.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5171
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4617
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4679
5.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
12233
14.5 IPS |
|
|
Object Detection (SP)
|
98% |
1427
113.6 IPS |
|
|
Object Detection (HP)
|
98% |
1472
117.1 IPS |
|
|
Object Detection (Q)
|
83% |
3436
277.6 IPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (Q)
|
95% |
8353
99.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4084
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4084
31.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
8087
74.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10191
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10260
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21311
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2007
74.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4979
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
655
883.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (Q)
|
50% |
517
18.3 IPS |
