HONOR BVL-N49
Geekbench AI Score
2704
Single Precision Score
2643
Half Precision Score
4449
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 11 2024 01:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
1972
366.8 IPS |
|
|
Image Classification (Q)
|
100% |
3385
629.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4164
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3905
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3902
4.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
9260
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1877
149.4 IPS |
|
|
Object Detection (HP)
|
98% |
1898
151.1 IPS |
|
|
Object Detection (Q)
|
83% |
3205
258.9 IPS |
|
|
Face Detection (SP)
|
100% |
4010
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (Q)
|
95% |
7336
87.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3745
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3595
27.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7107
65.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9631
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9495
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19877
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2038
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5324
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
99% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1456
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1763
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (Q)
|
50% |
905
32.1 IPS |
