HONOR BVL-N49
Geekbench AI Score
1898
Single Precision Score
1671
Half Precision Score
2897
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 06:54 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% |
1501
279.1 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (Q)
|
100% |
2538
472.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2039
33.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3139
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3145
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3049
3.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
6782
8.04 IPS |
|
|
Object Detection (SP)
|
98% |
1235
98.3 IPS |
|
|
Object Detection (HP)
|
98% |
1417
112.7 IPS |
|
|
Object Detection (Q)
|
83% |
2324
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
2341
27.8 IPS |
|
|
Face Detection (Q)
|
95% |
2387
28.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3233
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2701
20.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5157
47.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6828
8.86 IPS |
|
|
Style Transfer (HP)
|
89% |
6967
9.04 IPS |
|
|
Style Transfer (Q)
|
98% |
14904
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1380
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3486
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
549
732.5 IPS |
|
|
Text Classification (HP)
|
99% |
609
813.0 IPS |
|
|
Text Classification (Q)
|
88% |
937
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
555
19.7 IPS |
