HONOR BVL-N49
Geekbench AI Score
340
Single Precision Score
20254
Half Precision Score
49660
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 12:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
261
48.5 IPS |
|
|
Image Classification (HP)
|
100% |
15485
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
41218
7.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
10594
171.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
29776
484.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
355
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
76336
89.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
397388
465.1 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
14032
1.11 KIPS |
|
|
Object Detection (Q)
|
86% |
19429
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
492
5.85 IPS |
|
|
Face Detection (HP)
|
100% |
30851
366.6 IPS |
|
|
Face Detection (Q)
|
97% |
111474
1.33 KIPS |
|
|
Depth Estimation (SP)
|
100% |
433
3.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
58280
449.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
115057
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (HP)
|
98% |
81973
105.7 IPS |
|
|
Style Transfer (Q)
|
98% |
420995
542.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
223
8.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39334
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103370
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
287
382.8 IPS |
|
|
Text Classification (HP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6836
9.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (HP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (Q)
|
55% |
2523
66.1 IPS |
