HUAWEI BLK-LX9
Geekbench AI Score
199
Single Precision Score
199
Half Precision Score
485
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 10:43 PM |
| Views | 2 |
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
22.4 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
99% |
325
60.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
337
5.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
205
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
205
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
816
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.57 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.69 IPS |
|
|
Object Detection (Q)
|
87% |
358
28.7 IPS |
|
|
Face Detection (SP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (HP)
|
100% |
305
3.62 IPS |
|
|
Face Detection (Q)
|
97% |
702
8.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
247
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
249
1.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
630
5.71 IPS |
|
|
Style Transfer (SP)
|
100% |
414
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
414
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1273
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
126
4.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
123
4.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
471
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
179
238.9 IPS |
|
|
Text Classification (HP)
|
100% |
176
234.9 IPS |
|
|
Text Classification (Q)
|
91% |
325
436.6 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.07 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.09 IPS |
|
|
Machine Translation (Q)
|
57% |
265
6.48 IPS |
