HUAWEI BLK-LX9
Geekbench AI Score
446
Single Precision Score
690
Half Precision Score
542
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 04:43 AM |
| Views | 1 |
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% |
322
59.9 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.2 IPS |
|
|
Image Classification (Q)
|
97% |
287
53.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
800
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2235
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3888
4.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
3926
4.60 IPS |
|
|
Object Detection (SP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (HP)
|
99% |
366
29.1 IPS |
|
|
Object Detection (Q)
|
83% |
350
28.3 IPS |
|
|
Face Detection (SP)
|
100% |
805
9.57 IPS |
|
|
Face Detection (HP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (Q)
|
96% |
1179
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1220
9.40 IPS |
|
|
Depth Estimation (HP)
|
98% |
1981
15.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1539
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3208
4.12 IPS |
|
|
Style Transfer (HP)
|
100% |
7259
9.33 IPS |
|
|
Style Transfer (Q)
|
98% |
7116
9.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
592
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
976
36.2 IPS |
|
|
Text Classification (SP)
|
35% |
10
88.3 IPS |
|
|
Text Classification (HP)
|
35% |
13
120.0 IPS |
|
|
Text Classification (Q)
|
32% |
9
119.9 IPS |
|
|
Machine Translation (SP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (Q)
|
43% |
62
3.61 IPS |
