OnePlus OPD2203
Geekbench AI Score
478
Single Precision Score
544
Half Precision Score
1084
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | boriga7 |
| Upload Date | June 28 2025 02:17 PM |
| Views | 8 |
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% |
275
51.1 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
100% |
794
147.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
783
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
815
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1234
1.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
2518
2.99 IPS |
|
|
Object Detection (SP)
|
98% |
287
22.9 IPS |
|
|
Object Detection (HP)
|
98% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
83% |
708
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
661
7.86 IPS |
|
|
Face Detection (HP)
|
100% |
669
7.94 IPS |
|
|
Face Detection (Q)
|
95% |
1675
20.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
611
4.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
880
6.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1845
16.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2263
2.94 IPS |
|
|
Style Transfer (HP)
|
89% |
2204
2.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4885
6.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1213
44.9 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.3 IPS |
|
|
Text Classification (HP)
|
99% |
229
306.1 IPS |
|
|
Text Classification (Q)
|
88% |
453
611.3 IPS |
|
|
Machine Translation (SP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
50% |
244
8.66 IPS |
