HUAWEI ICL-LX9
Geekbench AI Score
875
Single Precision Score
827
Half Precision Score
1385
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 30 2026 10:36 PM |
| Views | 4 |
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% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (Q)
|
100% |
1174
218.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1224
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2082
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1976
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
2592
3.07 IPS |
|
|
Object Detection (SP)
|
98% |
264
21.0 IPS |
|
|
Object Detection (HP)
|
98% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
590
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (HP)
|
100% |
779
9.26 IPS |
|
|
Face Detection (Q)
|
95% |
1193
14.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1893
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1966
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2278
20.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3321
4.31 IPS |
|
|
Style Transfer (HP)
|
89% |
3320
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
6438
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1105
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1591
59.0 IPS |
|
|
Text Classification (SP)
|
100% |
468
625.2 IPS |
|
|
Text Classification (HP)
|
99% |
448
598.1 IPS |
|
|
Text Classification (Q)
|
88% |
770
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
50% |
553
19.6 IPS |
