HONOR BVL-N49
Geekbench AI Score
2851
Single Precision Score
2834
Half Precision Score
4651
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 03 2024 09:38 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 | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1951
362.9 IPS |
|
|
Image Classification (HP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (Q)
|
100% |
3440
639.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2646
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2642
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4200
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4315
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4055
4.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
9792
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
2196
174.8 IPS |
|
|
Object Detection (HP)
|
98% |
2223
176.8 IPS |
|
|
Object Detection (Q)
|
83% |
3200
258.5 IPS |
|
|
Face Detection (SP)
|
100% |
4170
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (Q)
|
95% |
7694
91.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4098
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4183
32.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
7349
67.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10086
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9945
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20708
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5586
207.0 IPS |
|
|
Text Classification (SP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (HP)
|
99% |
1104
1.47 KIPS |
|
|
Text Classification (Q)
|
88% |
1682
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (Q)
|
50% |
953
33.8 IPS |
