HONOR BVL-N49
Geekbench AI Score
1989
Single Precision Score
3077
Half Precision Score
2374
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 01:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1198
222.7 IPS |
|
|
Image Classification (HP)
|
100% |
1902
353.7 IPS |
|
|
Image Classification (Q)
|
100% |
1635
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2580
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4743
76.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3214
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10222
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
18500
21.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17665
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1201
95.3 IPS |
|
|
Object Detection (HP)
|
99% |
1580
125.4 IPS |
|
|
Object Detection (Q)
|
87% |
1681
135.0 IPS |
|
|
Face Detection (SP)
|
100% |
3897
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
6291
74.7 IPS |
|
|
Face Detection (Q)
|
97% |
5852
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5223
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7890
61.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
5799
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12461
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26436
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24898
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4693
173.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4203
155.8 IPS |
|
|
Text Classification (SP)
|
35% |
46
444.6 IPS |
|
|
Text Classification (HP)
|
35% |
57
521.6 IPS |
|
|
Text Classification (Q)
|
33% |
51
609.4 IPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
97% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
43% |
202
11.5 IPS |
