HONOR BVL-N49
Geekbench AI Score
2521
Single Precision Score
2668
Half Precision Score
4228
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | m4n |
| Upload Date | February 01 2025 03:42 PM |
| Views | 13 |
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% |
1597
297.0 IPS |
|
|
Image Classification (HP)
|
100% |
2157
401.2 IPS |
|
|
Image Classification (Q)
|
100% |
2657
494.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3440
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3818
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3847
4.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
9257
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1794
142.8 IPS |
|
|
Object Detection (HP)
|
98% |
1904
151.5 IPS |
|
|
Object Detection (Q)
|
83% |
3014
243.5 IPS |
|
|
Face Detection (SP)
|
100% |
3901
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
3915
46.5 IPS |
|
|
Face Detection (Q)
|
95% |
6984
83.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4122
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4032
31.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6940
63.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9838
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9708
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19726
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5290
196.0 IPS |
|
|
Text Classification (SP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
961
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1575
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (Q)
|
50% |
900
31.9 IPS |
