OnePlus OPD2203
Geekbench AI Score
589
Single Precision Score
584
Half Precision Score
1104
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 07:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
282
52.5 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (Q)
|
100% |
817
152.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1264
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1261
1.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
2598
3.08 IPS |
|
|
Object Detection (SP)
|
98% |
303
24.1 IPS |
|
|
Object Detection (HP)
|
98% |
308
24.5 IPS |
|
|
Object Detection (Q)
|
83% |
754
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (HP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (Q)
|
95% |
1770
21.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
960
7.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
979
7.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
1850
16.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2857
3.71 IPS |
|
|
Style Transfer (HP)
|
89% |
2828
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
5554
7.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1246
46.2 IPS |
|
|
Text Classification (SP)
|
100% |
286
382.0 IPS |
|
|
Text Classification (HP)
|
99% |
265
353.1 IPS |
|
|
Text Classification (Q)
|
88% |
498
672.3 IPS |
|
|
Machine Translation (SP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (Q)
|
50% |
190
6.74 IPS |
