HONOR BVL-N49
Geekbench AI Score
2190
Single Precision Score
2231
Half Precision Score
3357
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 11 2024 12:59 AM |
| 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% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
1986
369.3 IPS |
|
|
Image Classification (Q)
|
100% |
2822
524.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2716
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3268
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3643
4.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
7510
8.91 IPS |
|
|
Object Detection (SP)
|
98% |
1627
129.5 IPS |
|
|
Object Detection (HP)
|
98% |
1623
129.1 IPS |
|
|
Object Detection (Q)
|
83% |
2146
173.4 IPS |
|
|
Face Detection (SP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (Q)
|
95% |
5201
62.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3285
25.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5324
48.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8069
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8074
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15370
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3827
141.8 IPS |
|
|
Text Classification (SP)
|
100% |
668
891.0 IPS |
|
|
Text Classification (HP)
|
99% |
715
954.2 IPS |
|
|
Text Classification (Q)
|
88% |
1255
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (Q)
|
50% |
721
25.6 IPS |
