HONOR BVL-N49
Geekbench AI Score
1082
Single Precision Score
1772
Half Precision Score
1594
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:54 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
843
156.9 IPS |
|
|
Image Classification (HP)
|
100% |
1301
242.0 IPS |
|
|
Image Classification (Q)
|
96% |
1221
228.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1157
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2565
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2538
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
100% |
1104
87.6 IPS |
|
|
Object Detection (Q)
|
87% |
1076
86.4 IPS |
|
|
Face Detection (SP)
|
100% |
2626
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (Q)
|
97% |
3169
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1828
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3664
28.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3066
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6707
8.62 IPS |
|
|
Style Transfer (HP)
|
100% |
10773
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
10398
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1468
54.4 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.9 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.5 IPS |
|
|
Text Classification (Q)
|
91% |
475
638.6 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.57 IPS |
|
|
Machine Translation (Q)
|
57% |
392
9.58 IPS |
