HUAWEI BLK-LX9
Geekbench AI Score
435
Single Precision Score
646
Half Precision Score
535
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 04:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI BLK-LX9 |
| Model ID | HUAWEI BLK-LX9 |
| Motherboard | BLKS |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 4 Cores @ 1.84 GHz |
| Cluster 2 | 3 Cores @ 2.19 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (HP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (Q)
|
97% |
240
44.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
875
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
795
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2258
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3816
4.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
3976
4.66 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
99% |
367
29.1 IPS |
|
|
Object Detection (Q)
|
83% |
337
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
835
9.93 IPS |
|
|
Face Detection (HP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (Q)
|
96% |
1134
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1210
9.32 IPS |
|
|
Depth Estimation (HP)
|
98% |
1942
15.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
1553
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3158
4.06 IPS |
|
|
Style Transfer (HP)
|
100% |
7299
9.38 IPS |
|
|
Style Transfer (Q)
|
98% |
7008
9.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
592
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
941
34.9 IPS |
|
|
Text Classification (SP)
|
35% |
10
94.8 IPS |
|
|
Text Classification (HP)
|
29% |
8
139.6 IPS |
|
|
Text Classification (Q)
|
32% |
10
129.6 IPS |
|
|
Machine Translation (SP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.76 IPS |
