HUAWEI ICL-LX9
Geekbench AI Score
915
Single Precision Score
879
Half Precision Score
1499
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 30 2026 10:47 PM |
| Views | 2 |
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% |
477
88.7 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.0 IPS |
|
|
Image Classification (Q)
|
100% |
1083
201.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1230
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2167
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2021
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
2760
3.27 IPS |
|
|
Object Detection (SP)
|
98% |
398
31.7 IPS |
|
|
Object Detection (HP)
|
98% |
440
35.0 IPS |
|
|
Object Detection (Q)
|
83% |
1158
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1460
17.4 IPS |
|
|
Face Detection (Q)
|
95% |
2861
34.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1929
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1938
15.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2717
24.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3104
4.03 IPS |
|
|
Style Transfer (HP)
|
89% |
1426
1.85 IPS |
|
|
Style Transfer (Q)
|
98% |
3090
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1312
48.6 IPS |
|
|
Text Classification (SP)
|
100% |
469
625.4 IPS |
|
|
Text Classification (HP)
|
99% |
466
622.3 IPS |
|
|
Text Classification (Q)
|
88% |
763
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
