HUAWEI BLK-LX9
Geekbench AI Score
181
Single Precision Score
182
Half Precision Score
430
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 10:00 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
22.4 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
99% |
290
54.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
288
4.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
183
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
183
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
736
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
107
8.52 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.57 IPS |
|
|
Object Detection (Q)
|
87% |
317
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (HP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (Q)
|
97% |
632
7.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
226
1.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
225
1.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
554
5.03 IPS |
|
|
Style Transfer (SP)
|
100% |
378
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
377
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
1136
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
108
3.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
418
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
156
207.8 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.4 IPS |
|
|
Text Classification (Q)
|
91% |
277
372.1 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.73 IPS |
|
|
Machine Translation (Q)
|
57% |
242
5.92 IPS |
