HONOR BVL-N49
Geekbench AI Score
2530
Single Precision Score
2544
Half Precision Score
3834
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
2082
387.1 IPS |
|
|
Image Classification (Q)
|
100% |
2763
513.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3217
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3939
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3937
4.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
8830
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1764
140.4 IPS |
|
|
Object Detection (HP)
|
98% |
1783
141.9 IPS |
|
|
Object Detection (Q)
|
83% |
2737
221.1 IPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3752
44.6 IPS |
|
|
Face Detection (Q)
|
95% |
6018
71.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3837
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3919
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6141
56.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9241
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9303
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18183
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4500
166.8 IPS |
|
|
Text Classification (SP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
1267
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1732
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (Q)
|
50% |
836
29.7 IPS |
