HONOR ELN-W09
Geekbench AI Score
427
Single Precision Score
424
Half Precision Score
547
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | berkctezc |
| Upload Date | February 02 2025 09:37 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM SM6225 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | HONOR ELN-W09 |
| Model ID | HONOR ELN-W09 |
| Motherboard | ELN |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM6225 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.5 IPS |
|
|
Image Classification (Q)
|
100% |
370
68.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
461
7.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
942
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
939
1.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
748
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
83% |
368
29.7 IPS |
|
|
Face Detection (SP)
|
100% |
529
6.28 IPS |
|
|
Face Detection (HP)
|
100% |
528
6.28 IPS |
|
|
Face Detection (Q)
|
95% |
843
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
763
5.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
767
5.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
846
7.75 IPS |
|
|
Style Transfer (SP)
|
89% |
1639
2.13 IPS |
|
|
Style Transfer (HP)
|
89% |
1636
2.12 IPS |
|
|
Style Transfer (Q)
|
98% |
2112
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
402
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
477
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.5 IPS |
|
|
Text Classification (HP)
|
100% |
223
298.0 IPS |
|
|
Text Classification (Q)
|
88% |
351
473.6 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (Q)
|
50% |
203
7.19 IPS |
