HONOR BVL-N49
Geekbench AI Score
1162
Single Precision Score
1928
Half Precision Score
1800
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 08:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
848
157.7 IPS |
|
|
Image Classification (HP)
|
100% |
1305
242.6 IPS |
|
|
Image Classification (Q)
|
96% |
1230
229.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1840
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1100
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2560
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2549
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
100% |
1105
87.6 IPS |
|
|
Object Detection (Q)
|
87% |
1086
87.2 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
4405
52.3 IPS |
|
|
Face Detection (Q)
|
97% |
3264
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1832
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3627
28.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3032
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6734
8.66 IPS |
|
|
Style Transfer (HP)
|
100% |
10772
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
10460
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1437
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
430
574.0 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.8 IPS |
|
|
Text Classification (Q)
|
91% |
711
955.1 IPS |
|
|
Machine Translation (SP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
539
13.2 IPS |
