Danew Dslide_115
Geekbench AI Score
171
Single Precision Score
168
Half Precision Score
190
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 05:03 PM |
| Views | 1 |
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% |
110
20.4 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
100% |
149
27.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
180
2.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
328
0.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
269
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.49 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.23 IPS |
|
|
Object Detection (Q)
|
83% |
120
9.66 IPS |
|
|
Face Detection (SP)
|
100% |
201
2.39 IPS |
|
|
Face Detection (HP)
|
100% |
206
2.45 IPS |
|
|
Face Detection (Q)
|
95% |
285
3.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
239
1.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
230
1.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
295
2.71 IPS |
|
|
Style Transfer (SP)
|
89% |
642
0.83 IPS |
|
|
Style Transfer (HP)
|
89% |
714
0.93 IPS |
|
|
Style Transfer (Q)
|
98% |
758
0.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
142
5.26 IPS |
|
|
Text Classification (SP)
|
100% |
108
144.1 IPS |
|
|
Text Classification (HP)
|
100% |
103
137.7 IPS |
|
|
Text Classification (Q)
|
88% |
129
174.0 IPS |
|
|
Machine Translation (SP)
|
100% |
128
2.21 IPS |
|
|
Machine Translation (HP)
|
100% |
144
2.48 IPS |
|
|
Machine Translation (Q)
|
50% |
63
2.24 IPS |
