Danew Dslide_115
Geekbench AI Score
168
Single Precision Score
166
Half Precision Score
186
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 19 2025 12:41 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% |
86
16.1 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
100% |
135
25.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
90
1.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
158
2.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
313
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
320
0.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
265
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.51 IPS |
|
|
Object Detection (HP)
|
100% |
82
6.52 IPS |
|
|
Object Detection (Q)
|
83% |
126
10.2 IPS |
|
|
Face Detection (SP)
|
100% |
209
2.48 IPS |
|
|
Face Detection (HP)
|
100% |
210
2.50 IPS |
|
|
Face Detection (Q)
|
95% |
308
3.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
271
2.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
283
2.59 IPS |
|
|
Style Transfer (SP)
|
89% |
682
0.88 IPS |
|
|
Style Transfer (HP)
|
89% |
626
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
735
0.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
144
5.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
153
5.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
168
6.24 IPS |
|
|
Text Classification (SP)
|
100% |
104
139.0 IPS |
|
|
Text Classification (HP)
|
100% |
91
122.0 IPS |
|
|
Text Classification (Q)
|
88% |
110
148.5 IPS |
|
|
Machine Translation (SP)
|
100% |
138
2.38 IPS |
|
|
Machine Translation (HP)
|
100% |
137
2.37 IPS |
|
|
Machine Translation (Q)
|
50% |
62
2.21 IPS |
