HUAWEI BLK-LX9
Geekbench AI Score
261
Single Precision Score
444
Half Precision Score
355
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 17 2025 03:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
179
33.3 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.4 IPS |
|
|
Image Classification (Q)
|
97% |
189
35.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
466
7.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
857
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1922
2.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
1923
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (HP)
|
99% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
83% |
213
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (HP)
|
100% |
901
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
843
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
609
4.69 IPS |
|
|
Depth Estimation (HP)
|
98% |
1083
8.37 IPS |
|
|
Depth Estimation (Q)
|
62% |
848
8.05 IPS |
|
|
Style Transfer (SP)
|
100% |
1432
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3689
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
3671
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
624
23.1 IPS |
|
|
Text Classification (SP)
|
35% |
9
79.7 IPS |
|
|
Text Classification (HP)
|
35% |
12
110.1 IPS |
|
|
Text Classification (Q)
|
32% |
9
112.6 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (Q)
|
43% |
60
3.48 IPS |
