Danew Dslide_115
Geekbench AI Score
180
Single Precision Score
183
Half Precision Score
223
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 06:53 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% |
103
19.1 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (Q)
|
100% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
132
2.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
397
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
336
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.57 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.70 IPS |
|
|
Object Detection (Q)
|
83% |
144
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (HP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (Q)
|
95% |
343
4.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
201
1.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
201
1.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
323
2.96 IPS |
|
|
Style Transfer (SP)
|
89% |
708
0.92 IPS |
|
|
Style Transfer (HP)
|
89% |
738
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
796
1.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
217
8.06 IPS |
|
|
Text Classification (SP)
|
100% |
111
148.0 IPS |
|
|
Text Classification (HP)
|
100% |
109
145.4 IPS |
|
|
Text Classification (Q)
|
88% |
135
181.9 IPS |
|
|
Machine Translation (SP)
|
100% |
158
2.73 IPS |
|
|
Machine Translation (HP)
|
100% |
152
2.62 IPS |
|
|
Machine Translation (Q)
|
50% |
67
2.38 IPS |
