HONOR BVL-N49
Geekbench AI Score
1171
Single Precision Score
1981
Half Precision Score
1956
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | m4n |
| Upload Date | February 01 2025 03:46 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
840
156.1 IPS |
|
|
Image Classification (HP)
|
100% |
1336
248.4 IPS |
|
|
Image Classification (Q)
|
96% |
1326
247.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2792
45.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2425
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1095
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2571
3.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
2550
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (HP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (Q)
|
87% |
1082
86.9 IPS |
|
|
Face Detection (SP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
4634
55.1 IPS |
|
|
Face Detection (Q)
|
97% |
4189
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1840
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3714
28.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3081
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6742
8.67 IPS |
|
|
Style Transfer (HP)
|
100% |
10919
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10759
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1545
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.2 IPS |
|
|
Text Classification (HP)
|
100% |
448
598.3 IPS |
|
|
Text Classification (Q)
|
91% |
744
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
579
14.2 IPS |
