HUAWEI BLK-LX9
Geekbench AI Score
795
Single Precision Score
794
Half Precision Score
1779
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 03:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI BLK-LX9 |
| Model ID | HUAWEI BLK-LX9 |
| Motherboard | BLKS |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 4 Cores @ 1.84 GHz |
| Cluster 2 | 3 Cores @ 2.19 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
436
81.2 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
100% |
1300
241.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1441
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1781
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1739
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
3205
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
83% |
1213
98.0 IPS |
|
|
Face Detection (SP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1020
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
3005
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1357
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1354
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3109
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2834
3.68 IPS |
|
|
Style Transfer (HP)
|
89% |
3037
3.94 IPS |
|
|
Style Transfer (Q)
|
98% |
7357
9.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
588
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1861
69.0 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.5 IPS |
|
|
Text Classification (HP)
|
100% |
468
625.3 IPS |
|
|
Text Classification (Q)
|
88% |
846
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
405
14.4 IPS |
