OnePlus OPD2203
Geekbench AI Score
1163
Single Precision Score
1175
Half Precision Score
2060
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 22 2025 07:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus OPD2203 |
| Model ID | OnePlus OPD2203 |
| Motherboard | k6983v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
756
140.7 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
100% |
1544
287.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1672
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1996
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2013
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
4523
5.36 IPS |
|
|
Object Detection (SP)
|
98% |
768
61.1 IPS |
|
|
Object Detection (HP)
|
98% |
797
63.4 IPS |
|
|
Object Detection (Q)
|
83% |
1310
105.9 IPS |
|
|
Face Detection (SP)
|
100% |
1590
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
3496
41.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1882
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1907
14.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3588
32.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4606
5.98 IPS |
|
|
Style Transfer (HP)
|
89% |
4660
6.05 IPS |
|
|
Style Transfer (Q)
|
98% |
10179
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
958
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2521
93.4 IPS |
|
|
Text Classification (SP)
|
100% |
485
647.1 IPS |
|
|
Text Classification (HP)
|
99% |
414
552.7 IPS |
|
|
Text Classification (Q)
|
88% |
746
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
375
13.3 IPS |
