HUAWEI ICL-LX9
Geekbench AI Score
1006
Single Precision Score
979
Half Precision Score
1644
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 30 2026 10:31 PM |
| Views | 1 |
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% |
514
95.7 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (Q)
|
100% |
1060
197.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1230
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2184
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2109
2.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
2766
3.28 IPS |
|
|
Object Detection (SP)
|
98% |
440
35.0 IPS |
|
|
Object Detection (HP)
|
98% |
440
35.0 IPS |
|
|
Object Detection (Q)
|
83% |
1151
92.9 IPS |
|
|
Face Detection (SP)
|
100% |
1473
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1472
17.5 IPS |
|
|
Face Detection (Q)
|
95% |
2912
34.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1973
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1956
15.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2703
24.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3316
4.30 IPS |
|
|
Style Transfer (HP)
|
89% |
3318
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
6468
8.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1580
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
491
655.7 IPS |
|
|
Text Classification (HP)
|
99% |
489
653.0 IPS |
|
|
Text Classification (Q)
|
88% |
826
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
525
18.6 IPS |
