HUAWEI BLK-LX9
Geekbench AI Score
262
Single Precision Score
451
Half Precision Score
352
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 17 2025 03:12 PM |
| Views | 2 |
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% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (Q)
|
97% |
192
35.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
477
7.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
861
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1926
2.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
1930
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
99% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
219
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.46 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
813
9.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
604
4.65 IPS |
|
|
Depth Estimation (HP)
|
98% |
1047
8.09 IPS |
|
|
Depth Estimation (Q)
|
62% |
835
7.94 IPS |
|
|
Style Transfer (SP)
|
100% |
1444
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
3733
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
3674
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
342
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
624
23.1 IPS |
|
|
Text Classification (SP)
|
35% |
9
81.1 IPS |
|
|
Text Classification (HP)
|
35% |
13
115.4 IPS |
|
|
Text Classification (Q)
|
32% |
8
107.7 IPS |
|
|
Machine Translation (SP)
|
100% |
193
3.32 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
43% |
61
3.57 IPS |
