OnePlus DN2101
Geekbench AI Score
742
Single Precision Score
1209
Half Precision Score
1002
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 04:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6893Z_A/CZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus DN2101 |
| Model ID | OnePlus DN2101 |
| 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
529
98.3 IPS |
|
|
Image Classification (HP)
|
100% |
957
177.9 IPS |
|
|
Image Classification (Q)
|
97% |
926
172.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1575
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4118
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
8022
9.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
7916
9.28 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (HP)
|
99% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
83% |
566
45.7 IPS |
|
|
Face Detection (SP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
2490
29.6 IPS |
|
|
Face Detection (Q)
|
96% |
2167
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1572
12.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2790
21.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2222
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4279
5.50 IPS |
|
|
Style Transfer (HP)
|
100% |
8973
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8845
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1539
57.0 IPS |
|
|
Text Classification (SP)
|
35% |
25
223.4 IPS |
|
|
Text Classification (HP)
|
29% |
17
292.0 IPS |
|
|
Text Classification (Q)
|
29% |
17
287.7 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (Q)
|
43% |
141
8.22 IPS |
