HONOR BVL-N49
Geekbench AI Score
2586
Single Precision Score
2581
Half Precision Score
4110
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 01:51 PM |
| Views | 1 |
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% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
1978
367.8 IPS |
|
|
Image Classification (Q)
|
100% |
2808
522.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3189
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3801
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3718
4.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
8672
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1759
140.0 IPS |
|
|
Object Detection (HP)
|
98% |
1964
156.3 IPS |
|
|
Object Detection (Q)
|
83% |
2720
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (Q)
|
95% |
5996
71.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3736
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3752
29.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6110
56.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9182
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9111
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21100
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1904
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5776
214.0 IPS |
|
|
Text Classification (SP)
|
100% |
1069
1.43 KIPS |
|
|
Text Classification (HP)
|
99% |
1049
1.40 KIPS |
|
|
Text Classification (Q)
|
88% |
1571
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1427
24.6 IPS |
|
|
Machine Translation (Q)
|
50% |
929
33.0 IPS |
