HUAWEI ICL-LX9
Geekbench AI Score
846
Single Precision Score
886
Half Precision Score
1444
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 30 2026 10:41 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% |
477
88.7 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (Q)
|
100% |
1061
197.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1223
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2168
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1991
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
2750
3.26 IPS |
|
|
Object Detection (SP)
|
98% |
415
33.0 IPS |
|
|
Object Detection (HP)
|
98% |
397
31.6 IPS |
|
|
Object Detection (Q)
|
83% |
1152
93.1 IPS |
|
|
Face Detection (SP)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (Q)
|
95% |
1922
22.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
979
7.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
924
7.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
1125
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1426
1.85 IPS |
|
|
Style Transfer (HP)
|
89% |
3225
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
6459
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1090
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1587
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.5 IPS |
|
|
Text Classification (HP)
|
99% |
465
620.7 IPS |
|
|
Text Classification (Q)
|
88% |
769
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
