HONOR BVL-N49
Geekbench AI Score
347
Single Precision Score
346
Half Precision Score
757
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 11:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR BVL-N49 |
| Model ID | HONOR BVL-N49 |
| Motherboard | BVL |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
246
45.8 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.5 IPS |
|
|
Image Classification (Q)
|
99% |
509
95.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
518
8.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
1367
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
87% |
553
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
509
6.05 IPS |
|
|
Face Detection (HP)
|
100% |
582
6.91 IPS |
|
|
Face Detection (Q)
|
97% |
1152
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
452
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
452
3.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
1031
9.36 IPS |
|
|
Style Transfer (SP)
|
100% |
737
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
732
0.94 IPS |
|
|
Style Transfer (Q)
|
98% |
1779
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
234
8.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
233
8.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
787
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.1 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.2 IPS |
|
|
Text Classification (Q)
|
91% |
476
640.4 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
57% |
392
9.59 IPS |
