Blackview BL9000 Pro
Geekbench ML Score
446
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 26 2024 05:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Blackview BL9000 Pro |
| Model ID | Blackview BL9000 Pro |
| Motherboard | k6891v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6891 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 11.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
172
32.3 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.5 IPS |
|
|
Image Classification (I8)
|
97% |
385
72.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
286
4.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
285
4.76 IPS |
|
|
Image Segmentation (I8)
|
98% |
570
9.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
330
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
329
0.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
1907
2.31 IPS |
|
|
Object Detection (F32)
|
100% |
210
15.7 IPS |
|
|
Object Detection (F16)
|
100% |
221
16.5 IPS |
|
|
Object Detection (I8)
|
61% |
545
40.7 IPS |
|
|
Face Detection (F32)
|
100% |
525
6.24 IPS |
|
|
Face Detection (F16)
|
100% |
481
5.72 IPS |
|
|
Face Detection (I8)
|
86% |
1117
13.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
423
3.28 IPS |
|
|
Depth Estimation (F16)
|
100% |
422
3.27 IPS |
|
|
Depth Estimation (I8)
|
95% |
1119
8.68 IPS |
|
|
Style Transfer (F32)
|
100% |
792
1.04 IPS |
|
|
Style Transfer (F16)
|
100% |
741
0.97 IPS |
|
|
Style Transfer (I8)
|
98% |
2394
3.15 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
285
10.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
287
10.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
975
34.8 IPS |
|
|
Text Classification (F32)
|
100% |
328
471.2 IPS |
|
|
Text Classification (F16)
|
100% |
350
502.8 IPS |
|
|
Text Classification (I8)
|
92% |
316
454.1 IPS |
|
|
Machine Translation (F32)
|
100% |
522
9.61 IPS |
|
|
Machine Translation (F16)
|
100% |
495
9.11 IPS |
|
|
Machine Translation (I8)
|
64% |
223
4.10 IPS |
