HONOR BVL-N49
Geekbench AI Score
440
Single Precision Score
443
Half Precision Score
1031
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 08:20 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% |
269
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.7 IPS |
|
|
Image Classification (Q)
|
99% |
749
139.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
329
5.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
445
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
444
0.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
1779
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (Q)
|
87% |
789
63.3 IPS |
|
|
Face Detection (SP)
|
100% |
645
7.66 IPS |
|
|
Face Detection (HP)
|
100% |
665
7.91 IPS |
|
|
Face Detection (Q)
|
97% |
1542
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
552
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
552
4.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
1313
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
906
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2208
2.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1059
39.2 IPS |
|
|
Text Classification (SP)
|
100% |
430
573.7 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.9 IPS |
|
|
Text Classification (Q)
|
91% |
715
960.7 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
544
13.3 IPS |
