HONOR BVL-N49
Geekbench AI Score
2619
Single Precision Score
2609
Half Precision Score
4287
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 08:06 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% |
1905
354.3 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.7 IPS |
|
|
Image Classification (Q)
|
100% |
3616
672.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3955
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3753
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
8695
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
2076
165.2 IPS |
|
|
Object Detection (HP)
|
98% |
2053
163.3 IPS |
|
|
Object Detection (Q)
|
83% |
3092
249.8 IPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
4117
48.9 IPS |
|
|
Face Detection (Q)
|
95% |
7108
84.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3495
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3430
26.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6733
61.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9370
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9124
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18535
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4926
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
944
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1456
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (Q)
|
50% |
858
30.4 IPS |
