Blackview BV9200
Geekbench AI Score
433
Single Precision Score
428
Half Precision Score
847
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 24 2025 12:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6781V/CDZAMB-H |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Blackview BV9200 |
| Model ID | Blackview BV9200 |
| Motherboard | k6781v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6781V/CDZAMB-H |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
206
38.4 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
100% |
614
114.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
676
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
977
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
862
1.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
1396
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (Q)
|
83% |
596
48.2 IPS |
|
|
Face Detection (SP)
|
100% |
608
7.22 IPS |
|
|
Face Detection (HP)
|
100% |
597
7.09 IPS |
|
|
Face Detection (Q)
|
95% |
1314
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
753
5.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
770
5.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1283
11.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1468
1.91 IPS |
|
|
Style Transfer (HP)
|
89% |
1480
1.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3179
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
398
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
799
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
243
324.4 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.5 IPS |
|
|
Text Classification (Q)
|
88% |
453
611.4 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (Q)
|
50% |
287
10.2 IPS |
