HUAWEI ICL-LX9
Geekbench AI Score
187
Single Precision Score
217
Half Precision Score
189
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 08 2026 01:07 AM |
| Views | 9 |
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% |
106
19.8 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
100% |
128
23.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
213
3.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
988
1.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
974
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.75 IPS |
|
|
Object Detection (HP)
|
99% |
114
9.06 IPS |
|
|
Object Detection (Q)
|
85% |
110
8.87 IPS |
|
|
Face Detection (SP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (HP)
|
100% |
547
6.50 IPS |
|
|
Face Detection (Q)
|
97% |
509
6.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
428
3.29 IPS |
|
|
Depth Estimation (HP)
|
98% |
590
4.56 IPS |
|
|
Depth Estimation (Q)
|
61% |
453
4.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1145
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1580
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
1572
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
389
14.4 IPS |
|
|
Text Classification (SP)
|
35% |
8
74.2 IPS |
|
|
Text Classification (HP)
|
29% |
4
75.4 IPS |
|
|
Text Classification (Q)
|
29% |
4
76.7 IPS |
|
|
Machine Translation (SP)
|
100% |
83
1.43 IPS |
|
|
Machine Translation (HP)
|
100% |
92
1.59 IPS |
|
|
Machine Translation (Q)
|
48% |
37
1.42 IPS |
