HONOR BVL-N49
Geekbench AI Score
2454
Single Precision Score
2650
Half Precision Score
4125
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 09:48 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 | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1910
355.3 IPS |
|
|
Image Classification (HP)
|
100% |
1991
370.4 IPS |
|
|
Image Classification (Q)
|
100% |
3188
592.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4222
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3844
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3788
4.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
8662
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1831
145.7 IPS |
|
|
Object Detection (HP)
|
98% |
1863
148.2 IPS |
|
|
Object Detection (Q)
|
83% |
2198
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (Q)
|
95% |
7022
83.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3897
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3821
29.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6547
60.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6971
9.05 IPS |
|
|
Style Transfer (HP)
|
89% |
8814
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18554
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2011
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5131
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
1037
1.38 KIPS |
|
|
Text Classification (Q)
|
88% |
1432
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1696
29.2 IPS |
|
|
Machine Translation (Q)
|
50% |
889
31.6 IPS |
