User | X-TrusT |
Upload Date | June 06 2025 06:34 AM |
Views | 4 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
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 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
216
40.1 IPS |
|
Image Classification (HP)
|
100% |
340
63.3 IPS |
|
Image Classification (Q)
|
99% |
284
52.9 IPS |
|
Image Segmentation (SP)
|
100% |
428
6.94 IPS |
|
Image Segmentation (HP)
|
100% |
592
9.60 IPS |
|
Image Segmentation (Q)
|
98% |
573
9.32 IPS |
|
Pose Estimation (SP)
|
100% |
285
0.33 IPS |
|
Pose Estimation (HP)
|
100% |
342
0.40 IPS |
|
Pose Estimation (Q)
|
96% |
340
0.40 IPS |
|
Object Detection (SP)
|
100% |
244
19.3 IPS |
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
Object Detection (Q)
|
83% |
377
30.5 IPS |
|
Face Detection (SP)
|
100% |
1056
12.6 IPS |
|
Face Detection (HP)
|
100% |
1426
16.9 IPS |
|
Face Detection (Q)
|
97% |
1272
15.2 IPS |
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
Depth Estimation (HP)
|
99% |
668
5.14 IPS |
|
Depth Estimation (Q)
|
62% |
534
5.06 IPS |
|
Style Transfer (SP)
|
100% |
1158
1.49 IPS |
|
Style Transfer (HP)
|
100% |
1777
2.28 IPS |
|
Style Transfer (Q)
|
98% |
1761
2.27 IPS |
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
484
17.9 IPS |
|
Image Super-Resolution (Q)
|
97% |
395
14.6 IPS |
|
Text Classification (SP)
|
100% |
206
275.3 IPS |
|
Text Classification (HP)
|
100% |
204
272.7 IPS |
|
Text Classification (Q)
|
91% |
416
558.6 IPS |
|
Machine Translation (SP)
|
100% |
342
5.88 IPS |
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
Machine Translation (Q)
|
57% |
316
7.72 IPS |