Blackview A200 Pro
Geekbench AI Score
300
Single Precision Score
488
Half Precision Score
446
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 11 2025 08:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Blackview A200 Pro |
| Model ID | Blackview A200 Pro |
| Motherboard | k6789v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
184
34.2 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
526
8.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
2034
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
99% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
83% |
325
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
662
7.87 IPS |
|
|
Face Detection (HP)
|
100% |
1420
16.9 IPS |
|
|
Face Detection (Q)
|
96% |
1277
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
808
6.22 IPS |
|
|
Depth Estimation (HP)
|
98% |
1506
11.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1214
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1947
2.50 IPS |
|
|
Style Transfer (HP)
|
100% |
4111
5.28 IPS |
|
|
Style Transfer (Q)
|
98% |
4072
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
803
29.7 IPS |
|
|
Text Classification (SP)
|
29% |
5
88.6 IPS |
|
|
Text Classification (HP)
|
29% |
5
90.7 IPS |
|
|
Text Classification (Q)
|
32% |
9
120.8 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
43% |
82
4.80 IPS |
