Danew Dslide_115
Geekbench AI Score
149
Single Precision Score
153
Half Precision Score
168
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 04:39 PM |
| Views | 5 |
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% |
93
17.3 IPS |
|
|
Image Classification (HP)
|
100% |
83
15.4 IPS |
|
|
Image Classification (Q)
|
100% |
109
20.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
93
1.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
96
1.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
158
2.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
316
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
316
0.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
248
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.58 IPS |
|
|
Object Detection (HP)
|
100% |
76
6.03 IPS |
|
|
Object Detection (Q)
|
83% |
113
9.13 IPS |
|
|
Face Detection (SP)
|
100% |
188
2.23 IPS |
|
|
Face Detection (HP)
|
100% |
196
2.33 IPS |
|
|
Face Detection (Q)
|
95% |
284
3.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
238
1.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
255
1.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
256
2.35 IPS |
|
|
Style Transfer (SP)
|
89% |
610
0.79 IPS |
|
|
Style Transfer (HP)
|
89% |
621
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
682
0.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
152
5.64 IPS |
|
|
Text Classification (SP)
|
100% |
69
91.5 IPS |
|
|
Text Classification (HP)
|
100% |
77
103.0 IPS |
|
|
Text Classification (Q)
|
88% |
100
134.4 IPS |
|
|
Machine Translation (SP)
|
100% |
120
2.07 IPS |
|
|
Machine Translation (HP)
|
100% |
119
2.04 IPS |
|
|
Machine Translation (Q)
|
50% |
51
1.82 IPS |
