Daria DM-B50104
Geekbench AI Score
559
Single Precision Score
560
Half Precision Score
1172
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 03:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Daria DM-B50104 |
| Model ID | Daria DM-B50104 |
| Motherboard | mt6877 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (Q)
|
100% |
772
143.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
880
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1106
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1943
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
83% |
751
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
796
9.45 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (Q)
|
95% |
1882
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1047
8.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
1039
8.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
1832
16.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2059
2.67 IPS |
|
|
Style Transfer (HP)
|
89% |
2048
2.66 IPS |
|
|
Style Transfer (Q)
|
98% |
4553
5.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1106
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
326
435.5 IPS |
|
|
Text Classification (HP)
|
100% |
326
434.7 IPS |
|
|
Text Classification (Q)
|
88% |
712
960.6 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.16 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.02 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
