HONOR BVL-N49
Geekbench AI Score
2517
Single Precision Score
2540
Half Precision Score
3884
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 03:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
2029
377.3 IPS |
|
|
Image Classification (Q)
|
100% |
3510
652.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3202
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3569
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3585
4.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
8837
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1988
158.2 IPS |
|
|
Object Detection (HP)
|
98% |
1987
158.1 IPS |
|
|
Object Detection (Q)
|
83% |
2756
222.6 IPS |
|
|
Face Detection (SP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (Q)
|
95% |
6031
72.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3623
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3909
30.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6124
56.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9292
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9341
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17807
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2000
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4487
166.3 IPS |
|
|
Text Classification (SP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1175
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1715
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
824
29.3 IPS |
