HONOR WOD-LX3
Geekbench AI Score
256
Single Precision Score
257
Half Precision Score
298
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 02:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/XBA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR WOD-LX3 |
| Model ID | HONOR WOD-LX3 |
| Motherboard | WDYL |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/XBA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 4 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
133
24.8 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
100% |
210
39.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
294
4.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
648
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
596
0.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
508
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
83% |
193
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (HP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (Q)
|
95% |
533
6.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
371
2.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
427
3.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
483
4.42 IPS |
|
|
Style Transfer (SP)
|
89% |
1173
1.52 IPS |
|
|
Style Transfer (HP)
|
89% |
1199
1.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1221
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
225
8.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
279
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
124
165.0 IPS |
|
|
Text Classification (HP)
|
100% |
118
157.4 IPS |
|
|
Text Classification (Q)
|
88% |
141
190.3 IPS |
|
|
Machine Translation (SP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (Q)
|
50% |
75
2.67 IPS |
