OnePlus OPD2203
Geekbench AI Score
1338
Single Precision Score
1348
Half Precision Score
2268
Quantized Score
Geekbench AI 1.4.0 Corporate for Android AArch64
Result Information
| Upload Date | June 26 2025 07:19 PM |
| Views | 4 |
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% |
885
164.7 IPS |
|
|
Image Classification (HP)
|
100% |
883
164.2 IPS |
|
|
Image Classification (Q)
|
100% |
1626
302.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1770
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2051
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2047
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
4563
5.41 IPS |
|
|
Object Detection (SP)
|
98% |
871
69.3 IPS |
|
|
Object Detection (HP)
|
98% |
835
66.4 IPS |
|
|
Object Detection (Q)
|
83% |
1297
104.8 IPS |
|
|
Face Detection (SP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1820
21.6 IPS |
|
|
Face Detection (Q)
|
95% |
3573
42.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2102
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2131
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3702
33.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4862
6.31 IPS |
|
|
Style Transfer (HP)
|
89% |
4873
6.33 IPS |
|
|
Style Transfer (Q)
|
98% |
10302
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2708
100.3 IPS |
|
|
Text Classification (SP)
|
100% |
521
695.3 IPS |
|
|
Text Classification (HP)
|
99% |
604
805.7 IPS |
|
|
Text Classification (Q)
|
88% |
1087
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
529
18.8 IPS |
