Danew Dslide_115
Geekbench AI Score
148
Single Precision Score
152
Half Precision Score
168
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 04:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Danew Dslide_115 |
| Model ID | Danew Dslide_115 |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.42 GHz |
| Cluster 1 | 4 Cores @ 1.42 GHz |
| Cluster 2 | 2 Cores @ 1.61 GHz |
| Cluster 3 | 2 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.6 IPS |
|
|
Image Classification (Q)
|
100% |
111
20.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
104
1.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
176
2.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
330
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
318
0.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
250
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.71 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.80 IPS |
|
|
Object Detection (Q)
|
83% |
110
8.87 IPS |
|
|
Face Detection (SP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (HP)
|
100% |
184
2.19 IPS |
|
|
Face Detection (Q)
|
95% |
262
3.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
201
1.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
223
1.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
263
2.41 IPS |
|
|
Style Transfer (SP)
|
89% |
620
0.80 IPS |
|
|
Style Transfer (HP)
|
89% |
617
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
683
0.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
155
5.73 IPS |
|
|
Text Classification (SP)
|
100% |
71
94.4 IPS |
|
|
Text Classification (HP)
|
100% |
87
116.6 IPS |
|
|
Text Classification (Q)
|
88% |
94
126.6 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.08 IPS |
|
|
Machine Translation (HP)
|
100% |
120
2.07 IPS |
|
|
Machine Translation (Q)
|
50% |
51
1.80 IPS |
