HUAWEI ICL-LX9
Geekbench AI Score
293
Single Precision Score
294
Half Precision Score
594
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 12 2026 01:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
169
31.5 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (Q)
|
99% |
396
73.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
414
6.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
322
0.38 IPS |
|
|
Pose Estimation (Q)
|
98% |
1118
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
87% |
427
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (HP)
|
100% |
443
5.26 IPS |
|
|
Face Detection (Q)
|
97% |
882
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
375
2.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
376
2.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
802
7.28 IPS |
|
|
Style Transfer (SP)
|
100% |
656
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
653
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
1493
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
197
7.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
196
7.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
614
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.4 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.7 IPS |
|
|
Text Classification (Q)
|
91% |
375
503.7 IPS |
|
|
Machine Translation (SP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.83 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.10 IPS |
