| Upload Date | November 26 2025 11:02 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6785V/CD |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | realme RMX2151L1 |
| Model ID | realme RMX2151L1 |
| Motherboard | RM6785 |
| CPU Information | |
|---|---|
| Name | ARM MT6785V/CD |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (Q)
|
97% |
350
65.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
618
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1608
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3004
3.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
2747
3.22 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
99% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
83% |
363
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (HP)
|
100% |
1645
19.5 IPS |
|
|
Face Detection (Q)
|
96% |
1399
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
959
7.39 IPS |
|
|
Depth Estimation (HP)
|
98% |
1777
13.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1327
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2367
3.04 IPS |
|
|
Style Transfer (HP)
|
100% |
4776
6.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4695
6.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
923
34.2 IPS |
|
|
Text Classification (SP)
|
35% |
14
126.9 IPS |
|
|
Text Classification (HP)
|
35% |
12
112.2 IPS |
|
|
Text Classification (Q)
|
32% |
8
106.1 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.52 IPS |
|
|
Machine Translation (Q)
|
43% |
72
4.19 IPS |