HUAWEI BLK-LX9
Geekbench AI Score
768
Single Precision Score
759
Half Precision Score
1687
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 03:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (Q)
|
100% |
1302
242.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1622
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1509
1.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
2833
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (Q)
|
83% |
1186
95.8 IPS |
|
|
Face Detection (SP)
|
100% |
984
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
990
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2987
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1246
9.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1239
9.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
2692
24.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2746
3.57 IPS |
|
|
Style Transfer (HP)
|
89% |
2718
3.53 IPS |
|
|
Style Transfer (Q)
|
98% |
6586
8.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
703
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1805
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.4 IPS |
|
|
Text Classification (HP)
|
100% |
448
598.0 IPS |
|
|
Text Classification (Q)
|
88% |
824
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (Q)
|
50% |
372
13.2 IPS |
