OnePlus OPD2403
Geekbench AI Score
2111
Single Precision Score
3242
Half Precision Score
2520
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 09:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus OPD2403 |
| Model ID | OnePlus OPD2403 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1174
218.3 IPS |
|
|
Image Classification (HP)
|
100% |
1652
307.3 IPS |
|
|
Image Classification (Q)
|
100% |
1528
284.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2668
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4480
72.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3334
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10589
12.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
19283
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
19073
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1172
93.0 IPS |
|
|
Object Detection (HP)
|
99% |
1760
139.6 IPS |
|
|
Object Detection (Q)
|
87% |
1677
134.7 IPS |
|
|
Face Detection (SP)
|
100% |
4351
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
7235
86.0 IPS |
|
|
Face Detection (Q)
|
97% |
6245
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5447
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8037
62.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
6110
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13487
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28962
37.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28724
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2894
106.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4650
171.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5001
185.4 IPS |
|
|
Text Classification (SP)
|
35% |
47
461.6 IPS |
|
|
Text Classification (HP)
|
35% |
72
650.9 IPS |
|
|
Text Classification (Q)
|
33% |
47
565.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (HP)
|
97% |
906
15.7 IPS |
|
|
Machine Translation (Q)
|
43% |
247
14.1 IPS |
