HUAWEI BLK-LX9
Geekbench AI Score
134
Single Precision Score
135
Half Precision Score
325
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 17 2025 08:12 AM |
| Views | 5 |
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% |
82
15.2 IPS |
|
|
Image Classification (HP)
|
100% |
82
15.3 IPS |
|
|
Image Classification (Q)
|
99% |
215
40.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
110
1.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
112
1.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
219
3.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
135
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
135
0.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
544
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
80
6.34 IPS |
|
|
Object Detection (HP)
|
100% |
81
6.41 IPS |
|
|
Object Detection (Q)
|
87% |
229
18.3 IPS |
|
|
Face Detection (SP)
|
100% |
211
2.51 IPS |
|
|
Face Detection (HP)
|
100% |
213
2.53 IPS |
|
|
Face Detection (Q)
|
97% |
466
5.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
169
1.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
170
1.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
417
3.78 IPS |
|
|
Style Transfer (SP)
|
100% |
291
0.37 IPS |
|
|
Style Transfer (HP)
|
100% |
292
0.38 IPS |
|
|
Style Transfer (Q)
|
98% |
880
1.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
81
3.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
82
3.01 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
364
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
117
155.7 IPS |
|
|
Text Classification (HP)
|
100% |
118
156.9 IPS |
|
|
Text Classification (Q)
|
91% |
209
281.2 IPS |
|
|
Machine Translation (SP)
|
100% |
198
3.42 IPS |
|
|
Machine Translation (HP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (Q)
|
57% |
177
4.33 IPS |
