HONOR BVL-AN16
Geekbench AI Score
1774
Single Precision Score
2815
Half Precision Score
2112
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Pretorian26 |
| Upload Date | August 26 2025 10:54 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1108
206.0 IPS |
|
|
Image Classification (HP)
|
100% |
1582
294.2 IPS |
|
|
Image Classification (Q)
|
100% |
1427
265.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4480
72.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3208
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9395
11.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
17316
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16741
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
951
75.4 IPS |
|
|
Object Detection (HP)
|
99% |
1555
123.4 IPS |
|
|
Object Detection (Q)
|
87% |
1322
106.2 IPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6062
72.0 IPS |
|
|
Face Detection (Q)
|
97% |
5162
61.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4787
36.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7125
55.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
5401
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11892
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25566
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24340
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2670
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4150
153.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3832
142.0 IPS |
|
|
Text Classification (SP)
|
35% |
41
400.1 IPS |
|
|
Text Classification (HP)
|
35% |
53
485.0 IPS |
|
|
Text Classification (Q)
|
33% |
42
509.3 IPS |
|
|
Machine Translation (SP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (HP)
|
97% |
675
11.7 IPS |
|
|
Machine Translation (Q)
|
43% |
160
9.11 IPS |
