Danew Dslide_115
Geekbench AI Score
165
Single Precision Score
166
Half Precision Score
190
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 28 2025 01:23 PM |
| Views | 3 |
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% |
94
17.5 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (Q)
|
100% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
196
3.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
374
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
265
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
81
6.45 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.37 IPS |
|
|
Object Detection (Q)
|
83% |
122
9.84 IPS |
|
|
Face Detection (SP)
|
100% |
195
2.32 IPS |
|
|
Face Detection (HP)
|
100% |
202
2.40 IPS |
|
|
Face Detection (Q)
|
95% |
299
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
235
1.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
219
1.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
263
2.41 IPS |
|
|
Style Transfer (SP)
|
89% |
589
0.76 IPS |
|
|
Style Transfer (HP)
|
89% |
640
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
704
0.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
5.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
136
5.03 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
161
5.98 IPS |
|
|
Text Classification (SP)
|
100% |
97
129.9 IPS |
|
|
Text Classification (HP)
|
100% |
91
121.4 IPS |
|
|
Text Classification (Q)
|
88% |
112
151.4 IPS |
|
|
Machine Translation (SP)
|
100% |
130
2.23 IPS |
|
|
Machine Translation (HP)
|
100% |
130
2.24 IPS |
|
|
Machine Translation (Q)
|
50% |
60
2.12 IPS |
