HUAWEI BLK-LX9
Geekbench AI Score
431
Single Precision Score
662
Half Precision Score
542
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 06:38 PM |
| 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% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.5 IPS |
|
|
Image Classification (Q)
|
97% |
250
46.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
804
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2126
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4410
5.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
3900
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
99% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
83% |
345
27.9 IPS |
|
|
Face Detection (SP)
|
100% |
822
9.76 IPS |
|
|
Face Detection (HP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (Q)
|
96% |
1176
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1215
9.36 IPS |
|
|
Depth Estimation (HP)
|
98% |
2050
15.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1545
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3066
3.94 IPS |
|
|
Style Transfer (HP)
|
100% |
7333
9.43 IPS |
|
|
Style Transfer (Q)
|
98% |
6983
9.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
985
36.5 IPS |
|
|
Text Classification (SP)
|
35% |
11
99.3 IPS |
|
|
Text Classification (HP)
|
29% |
8
130.9 IPS |
|
|
Text Classification (Q)
|
32% |
10
127.1 IPS |
|
|
Machine Translation (SP)
|
100% |
200
3.44 IPS |
|
|
Machine Translation (HP)
|
100% |
229
3.95 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.80 IPS |
