Danew Dslide_115
Geekbench AI Score
180
Single Precision Score
179
Half Precision Score
208
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 07:06 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% |
101
18.8 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (Q)
|
100% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
225
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
373
0.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
298
0.35 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.15 IPS |
|
|
Object Detection (HP)
|
100% |
89
7.05 IPS |
|
|
Object Detection (Q)
|
83% |
136
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
206
2.45 IPS |
|
|
Face Detection (HP)
|
100% |
215
2.56 IPS |
|
|
Face Detection (Q)
|
95% |
327
3.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
197
1.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
197
1.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
298
2.73 IPS |
|
|
Style Transfer (SP)
|
89% |
707
0.92 IPS |
|
|
Style Transfer (HP)
|
89% |
716
0.93 IPS |
|
|
Style Transfer (Q)
|
98% |
764
0.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
152
5.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
154
5.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
180
6.68 IPS |
|
|
Text Classification (SP)
|
100% |
110
147.3 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.7 IPS |
|
|
Text Classification (Q)
|
88% |
121
162.6 IPS |
|
|
Machine Translation (SP)
|
100% |
147
2.54 IPS |
|
|
Machine Translation (HP)
|
100% |
146
2.52 IPS |
|
|
Machine Translation (Q)
|
50% |
62
2.20 IPS |
