HONOR BVL-N49
Geekbench AI Score
2562
Single Precision Score
2558
Half Precision Score
3797
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 02:21 PM |
| Views | 2 |
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% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
2043
380.0 IPS |
|
|
Image Classification (Q)
|
100% |
2820
524.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3194
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3908
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3924
4.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
8810
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1993
158.6 IPS |
|
|
Object Detection (HP)
|
98% |
1987
158.1 IPS |
|
|
Object Detection (Q)
|
83% |
2713
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
3754
44.6 IPS |
|
|
Face Detection (Q)
|
95% |
6028
72.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3842
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3915
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6192
56.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9265
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9254
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17823
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1956
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4484
166.2 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1157
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1706
29.4 IPS |
|
|
Machine Translation (Q)
|
50% |
839
29.8 IPS |
