HUAWEI ICL-LX9
Geekbench AI Score
972
Single Precision Score
957
Half Precision Score
1487
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 30 2026 10:18 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% |
518
96.3 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.6 IPS |
|
|
Image Classification (Q)
|
100% |
1083
201.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
558
9.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1233
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2126
2.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
2235
2.65 IPS |
|
|
Object Detection (SP)
|
98% |
403
32.1 IPS |
|
|
Object Detection (HP)
|
98% |
403
32.1 IPS |
|
|
Object Detection (Q)
|
83% |
1031
83.3 IPS |
|
|
Face Detection (SP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (Q)
|
95% |
2577
30.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1920
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1911
14.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2271
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3266
4.24 IPS |
|
|
Style Transfer (HP)
|
89% |
3265
4.24 IPS |
|
|
Style Transfer (Q)
|
98% |
5602
7.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1025
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1343
49.8 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.9 IPS |
|
|
Text Classification (HP)
|
99% |
468
624.8 IPS |
|
|
Text Classification (Q)
|
88% |
762
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
513
18.2 IPS |
