HUAWEI ICL-LX9
Geekbench AI Score
841
Single Precision Score
849
Half Precision Score
1469
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 06 2026 06:20 PM |
| Views | 3 |
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% |
360
66.9 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
100% |
1049
195.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
1203
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1887
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1872
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
2381
2.82 IPS |
|
|
Object Detection (SP)
|
98% |
343
27.3 IPS |
|
|
Object Detection (HP)
|
98% |
380
30.2 IPS |
|
|
Object Detection (Q)
|
83% |
1045
84.4 IPS |
|
|
Face Detection (SP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (Q)
|
95% |
2521
30.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1659
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1661
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2328
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2874
3.73 IPS |
|
|
Style Transfer (HP)
|
89% |
2874
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
5539
7.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1370
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
426
568.2 IPS |
|
|
Text Classification (HP)
|
99% |
425
567.2 IPS |
|
|
Text Classification (Q)
|
88% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
451
16.0 IPS |
