HUAWEI ICL-LX9
Geekbench AI Score
1006
Single Precision Score
962
Half Precision Score
1628
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 30 2026 10:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ICL-LX9 |
| Model ID | HUAWEI ICL-LX9 |
| Motherboard | ICL |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3333 revision 1 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 3 Cores @ 2.15 GHz |
| Cluster 3 | 1 Core @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
486
90.3 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
100% |
1086
202.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
1222
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2203
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2209
2.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
2765
3.28 IPS |
|
|
Object Detection (SP)
|
98% |
416
33.1 IPS |
|
|
Object Detection (HP)
|
98% |
400
31.9 IPS |
|
|
Object Detection (Q)
|
83% |
1047
84.5 IPS |
|
|
Face Detection (SP)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (Q)
|
95% |
2579
30.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1942
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1982
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2297
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3284
4.26 IPS |
|
|
Style Transfer (HP)
|
89% |
3382
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
5865
7.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1022
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1031
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1821
67.5 IPS |
|
|
Text Classification (SP)
|
100% |
591
788.9 IPS |
|
|
Text Classification (HP)
|
99% |
447
597.1 IPS |
|
|
Text Classification (Q)
|
88% |
1026
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
527
18.7 IPS |
