HONOR BVL-N49
Geekbench AI Score
456
Single Precision Score
460
Half Precision Score
1069
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | m4n |
| Upload Date | February 01 2025 03:56 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
99% |
760
141.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
736
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
467
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1828
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (Q)
|
87% |
813
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
660
7.84 IPS |
|
|
Face Detection (HP)
|
100% |
664
7.89 IPS |
|
|
Face Detection (Q)
|
97% |
1577
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
582
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
580
4.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1417
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
944
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
948
1.22 IPS |
|
|
Style Transfer (Q)
|
98% |
2370
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1076
39.9 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.1 IPS |
|
|
Text Classification (HP)
|
100% |
446
595.6 IPS |
|
|
Text Classification (Q)
|
91% |
725
974.5 IPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
568
13.9 IPS |
