HONOR BVL-N49
Geekbench AI Score
2639
Single Precision Score
2652
Half Precision Score
4369
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 08:37 AM |
| 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% |
1780
330.9 IPS |
|
|
Image Classification (HP)
|
100% |
2233
415.2 IPS |
|
|
Image Classification (Q)
|
100% |
3534
657.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3722
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4032
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3927
4.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
9443
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
2168
172.5 IPS |
|
|
Object Detection (HP)
|
98% |
2172
172.8 IPS |
|
|
Object Detection (Q)
|
83% |
3301
266.7 IPS |
|
|
Face Detection (SP)
|
100% |
4084
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (Q)
|
95% |
6790
81.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3726
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3956
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
7022
64.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9535
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8660
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17346
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2054
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5464
202.5 IPS |
|
|
Text Classification (SP)
|
100% |
1071
1.43 KIPS |
|
|
Text Classification (HP)
|
99% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
88% |
1686
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1583
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (Q)
|
50% |
813
28.8 IPS |
