HONOR BVL-AN16
Geekbench AI Score
1357
Single Precision Score
1275
Half Precision Score
1987
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Pretorian26 |
| Upload Date | August 26 2025 10:46 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM SM8650 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR BVL-AN16 |
| Model ID | HONOR BVL-AN16 |
| Motherboard | BVL |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM SM8650 |
| 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 | 11.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1838
341.8 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.5 IPS |
|
|
Image Classification (Q)
|
100% |
2401
446.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2729
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2658
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3078
3.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
7174
8.51 IPS |
|
|
Object Detection (SP)
|
98% |
1521
121.0 IPS |
|
|
Object Detection (HP)
|
98% |
646
51.4 IPS |
|
|
Object Detection (Q)
|
83% |
1004
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1186
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2582
30.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1500
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1538
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3002
27.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3515
4.56 IPS |
|
|
Style Transfer (HP)
|
89% |
3583
4.65 IPS |
|
|
Style Transfer (Q)
|
98% |
6756
8.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
887
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
404
538.7 IPS |
|
|
Text Classification (HP)
|
99% |
455
607.5 IPS |
|
|
Text Classification (Q)
|
88% |
581
783.4 IPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
50% |
358
12.7 IPS |
