HONOR BVL-N49
Geekbench AI Score
959
Single Precision Score
1587
Half Precision Score
1521
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 06:59 PM |
| Views | 2 |
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% |
897
166.9 IPS |
|
|
Image Classification (HP)
|
100% |
1457
271.0 IPS |
|
|
Image Classification (Q)
|
96% |
1272
237.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2733
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1081
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2068
2.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
2027
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (HP)
|
100% |
855
67.8 IPS |
|
|
Object Detection (Q)
|
87% |
864
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
3709
44.1 IPS |
|
|
Face Detection (Q)
|
97% |
3104
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1601
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3155
24.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2614
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5433
6.98 IPS |
|
|
Style Transfer (HP)
|
100% |
8800
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8543
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1261
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1186
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
248
331.4 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.4 IPS |
|
|
Text Classification (Q)
|
91% |
401
539.1 IPS |
|
|
Machine Translation (SP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (Q)
|
57% |
331
8.08 IPS |
