HUAWEI ICL-LX9
Geekbench AI Score
188
Single Precision Score
218
Half Precision Score
189
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 04:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
108
20.1 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
100% |
124
23.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
214
3.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
766
0.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
992
1.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
972
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.78 IPS |
|
|
Object Detection (HP)
|
99% |
114
9.02 IPS |
|
|
Object Detection (Q)
|
85% |
110
8.89 IPS |
|
|
Face Detection (SP)
|
100% |
424
5.03 IPS |
|
|
Face Detection (HP)
|
100% |
544
6.46 IPS |
|
|
Face Detection (Q)
|
97% |
511
6.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
428
3.29 IPS |
|
|
Depth Estimation (HP)
|
98% |
589
4.56 IPS |
|
|
Depth Estimation (Q)
|
61% |
452
4.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1151
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1584
2.04 IPS |
|
|
Style Transfer (Q)
|
98% |
1575
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
392
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
390
14.4 IPS |
|
|
Text Classification (SP)
|
35% |
8
71.1 IPS |
|
|
Text Classification (HP)
|
29% |
4
77.2 IPS |
|
|
Text Classification (Q)
|
29% |
4
76.1 IPS |
|
|
Machine Translation (SP)
|
100% |
83
1.42 IPS |
|
|
Machine Translation (HP)
|
100% |
95
1.64 IPS |
|
|
Machine Translation (Q)
|
48% |
37
1.43 IPS |
