HUAWEI ICL-LX9
Geekbench AI Score
998
Single Precision Score
983
Half Precision Score
1579
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 30 2026 10:26 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% |
476
88.6 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.6 IPS |
|
|
Image Classification (Q)
|
100% |
1074
199.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
1232
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2206
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2201
2.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
2770
3.29 IPS |
|
|
Object Detection (SP)
|
98% |
417
33.2 IPS |
|
|
Object Detection (HP)
|
98% |
416
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
1011
81.7 IPS |
|
|
Face Detection (SP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1452
17.3 IPS |
|
|
Face Detection (Q)
|
95% |
2556
30.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2009
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1994
15.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2690
24.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3380
4.39 IPS |
|
|
Style Transfer (HP)
|
89% |
3373
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
6460
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1313
48.7 IPS |
|
|
Text Classification (SP)
|
100% |
468
625.0 IPS |
|
|
Text Classification (HP)
|
99% |
465
620.3 IPS |
|
|
Text Classification (Q)
|
88% |
775
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
578
20.5 IPS |
