HUAWEI BLK-LX9
Geekbench AI Score
181
Single Precision Score
182
Half Precision Score
431
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 10:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
120
22.3 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.5 IPS |
|
|
Image Classification (Q)
|
99% |
290
54.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
290
4.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
183
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
182
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
740
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
108
8.54 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.69 IPS |
|
|
Object Detection (Q)
|
87% |
316
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.39 IPS |
|
|
Face Detection (Q)
|
97% |
626
7.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
226
1.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
229
1.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
572
5.19 IPS |
|
|
Style Transfer (SP)
|
100% |
380
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
376
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
1134
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
108
3.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
107
3.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
417
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
157
208.9 IPS |
|
|
Text Classification (HP)
|
100% |
157
210.1 IPS |
|
|
Text Classification (Q)
|
91% |
278
373.4 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (Q)
|
57% |
242
5.91 IPS |
