HUAWEI BLK-AL80
Geekbench AI Score
197
Single Precision Score
199
Half Precision Score
483
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 29 2025 06:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
121
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (Q)
|
99% |
327
61.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
338
5.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
205
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
828
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.64 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.67 IPS |
|
|
Object Detection (Q)
|
87% |
357
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
305
3.62 IPS |
|
|
Face Detection (HP)
|
100% |
305
3.63 IPS |
|
|
Face Detection (Q)
|
97% |
700
8.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
249
1.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
633
5.74 IPS |
|
|
Style Transfer (SP)
|
100% |
409
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
411
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1239
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.1 IPS |
|
|
Text Classification (HP)
|
100% |
176
234.6 IPS |
|
|
Text Classification (Q)
|
91% |
324
435.6 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.92 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.39 IPS |
