Danew Dslide_115
Geekbench AI Score
144
Single Precision Score
143
Half Precision Score
156
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 02 2025 12:30 PM |
| Views | 4 |
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% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
100% |
98
18.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
78
1.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
87
1.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
150
2.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
299
0.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
234
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
69
5.50 IPS |
|
|
Object Detection (HP)
|
100% |
74
5.83 IPS |
|
|
Object Detection (Q)
|
83% |
107
8.67 IPS |
|
|
Face Detection (SP)
|
100% |
194
2.30 IPS |
|
|
Face Detection (HP)
|
100% |
189
2.24 IPS |
|
|
Face Detection (Q)
|
95% |
261
3.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
244
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
190
1.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
246
2.26 IPS |
|
|
Style Transfer (SP)
|
89% |
587
0.76 IPS |
|
|
Style Transfer (HP)
|
89% |
578
0.75 IPS |
|
|
Style Transfer (Q)
|
98% |
646
0.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
121
4.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
128
4.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
149
5.52 IPS |
|
|
Text Classification (SP)
|
100% |
75
100.1 IPS |
|
|
Text Classification (HP)
|
100% |
77
102.3 IPS |
|
|
Text Classification (Q)
|
88% |
82
110.7 IPS |
|
|
Machine Translation (SP)
|
100% |
116
2.00 IPS |
|
|
Machine Translation (HP)
|
100% |
121
2.09 IPS |
|
|
Machine Translation (Q)
|
50% |
47
1.68 IPS |
