OnePlus DN2103
Geekbench AI Score
973
Single Precision Score
964
Half Precision Score
1767
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | X-TrusT |
| Upload Date | June 06 2025 06:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6893Z_A/CZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus DN2103 |
| Model ID | OnePlus DN2103 |
| Motherboard | k6893v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6893Z_A/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.9 IPS |
|
|
Image Classification (Q)
|
100% |
714
132.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1670
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2110
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2036
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3793
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (HP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (Q)
|
83% |
1262
101.9 IPS |
|
|
Face Detection (SP)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (Q)
|
95% |
3344
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1787
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1775
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3351
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3862
5.01 IPS |
|
|
Style Transfer (HP)
|
89% |
3907
5.07 IPS |
|
|
Style Transfer (Q)
|
98% |
4589
5.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
917
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
914
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2098
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
493
657.5 IPS |
|
|
Text Classification (HP)
|
100% |
461
615.4 IPS |
|
|
Text Classification (Q)
|
88% |
966
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
499
17.7 IPS |
