HUAWEI BLK-AL80
Geekbench AI Score
798
Single Precision Score
798
Half Precision Score
1782
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 29 2025 05:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI BLK-AL80 |
| Model ID | HUAWEI BLK-AL80 |
| Motherboard | BLK |
| 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% |
391
72.8 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (Q)
|
100% |
1301
242.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
502
8.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1448
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1748
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1637
1.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
3265
3.87 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
83% |
1239
100.1 IPS |
|
|
Face Detection (SP)
|
100% |
1031
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
3005
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1153
8.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
1156
8.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
3113
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2942
3.82 IPS |
|
|
Style Transfer (HP)
|
89% |
3015
3.91 IPS |
|
|
Style Transfer (Q)
|
98% |
7294
9.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
757
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1868
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
470
627.5 IPS |
|
|
Text Classification (HP)
|
100% |
464
619.4 IPS |
|
|
Text Classification (Q)
|
88% |
831
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
402
14.3 IPS |
