Danew Dslide_115
Geekbench AI Score
182
Single Precision Score
186
Half Precision Score
204
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 09:01 AM |
| 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% |
97
18.0 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.3 IPS |
|
|
Image Classification (Q)
|
100% |
176
32.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
223
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
305
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
102
8.10 IPS |
|
|
Object Detection (HP)
|
100% |
93
7.36 IPS |
|
|
Object Detection (Q)
|
83% |
137
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
234
2.79 IPS |
|
|
Face Detection (HP)
|
100% |
229
2.73 IPS |
|
|
Face Detection (Q)
|
95% |
337
4.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
281
2.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
309
2.83 IPS |
|
|
Style Transfer (SP)
|
89% |
719
0.93 IPS |
|
|
Style Transfer (HP)
|
89% |
712
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
698
0.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
147
5.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
145
5.36 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
165
6.10 IPS |
|
|
Text Classification (SP)
|
100% |
102
135.9 IPS |
|
|
Text Classification (HP)
|
100% |
98
131.4 IPS |
|
|
Text Classification (Q)
|
88% |
101
136.6 IPS |
|
|
Machine Translation (SP)
|
100% |
118
2.02 IPS |
|
|
Machine Translation (HP)
|
100% |
152
2.61 IPS |
|
|
Machine Translation (Q)
|
50% |
63
2.23 IPS |
