Upload Date | December 30 2024 11:16 PM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | realme RMX3800 |
Model ID | realme RMX3800 |
Motherboard | pineapple |
Governor | uag |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
Base Frequency | 2.26 GHz |
Cluster 1 | 2 Cores @ 2.27 GHz |
Cluster 2 | 2 Cores @ 2.96 GHz |
Cluster 3 | 3 Cores @ 3.15 GHz |
Cluster 4 | 1 Core @ 3.30 GHz |
Memory Information | |
---|---|
Size | 10.99 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1657
308.2 IPS |
|
Image Classification (HP)
|
100% |
1615
300.4 IPS |
|
Image Classification (Q)
|
100% |
2480
461.1 IPS |
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
Image Segmentation (HP)
|
100% |
2280
37.0 IPS |
|
Image Segmentation (Q)
|
98% |
3227
52.5 IPS |
|
Pose Estimation (SP)
|
100% |
4108
4.79 IPS |
|
Pose Estimation (HP)
|
100% |
3780
4.41 IPS |
|
Pose Estimation (Q)
|
84% |
8255
9.79 IPS |
|
Object Detection (SP)
|
98% |
1635
130.1 IPS |
|
Object Detection (HP)
|
98% |
1648
131.1 IPS |
|
Object Detection (Q)
|
83% |
2218
179.1 IPS |
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
Face Detection (HP)
|
100% |
3591
42.7 IPS |
|
Face Detection (Q)
|
95% |
5407
64.5 IPS |
|
Depth Estimation (SP)
|
99% |
3581
27.7 IPS |
|
Depth Estimation (HP)
|
99% |
3469
26.8 IPS |
|
Depth Estimation (Q)
|
64% |
5640
51.7 IPS |
|
Style Transfer (SP)
|
89% |
9373
12.2 IPS |
|
Style Transfer (HP)
|
89% |
9514
12.3 IPS |
|
Style Transfer (Q)
|
98% |
17116
22.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
1686
62.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
1648
60.9 IPS |
|
Image Super-Resolution (Q)
|
97% |
3625
134.3 IPS |
|
Text Classification (SP)
|
100% |
885
1.18 KIPS |
|
Text Classification (HP)
|
99% |
890
1.19 KIPS |
|
Text Classification (Q)
|
88% |
892
1.20 KIPS |
|
Machine Translation (SP)
|
100% |
1472
25.4 IPS |
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
Machine Translation (Q)
|
50% |
478
17.0 IPS |