HUAWEI BRQ-AL00
Geekbench AI Score
173
Single Precision Score
174
Half Precision Score
409
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 04:27 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI BRQ-AL00 |
| Model ID | HUAWEI BRQ-AL00 |
| Motherboard | BRQ |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 4 part 3392 revision 0 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 4 Cores @ 1.84 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.58 GHz |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.6 IPS |
|
|
Image Classification (Q)
|
99% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
152
2.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
283
4.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
182
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
180
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
729
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.16 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.13 IPS |
|
|
Object Detection (Q)
|
87% |
301
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
256
3.04 IPS |
|
|
Face Detection (HP)
|
100% |
261
3.11 IPS |
|
|
Face Detection (Q)
|
97% |
561
6.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
210
1.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
213
1.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
544
4.94 IPS |
|
|
Style Transfer (SP)
|
100% |
345
0.44 IPS |
|
|
Style Transfer (HP)
|
100% |
339
0.44 IPS |
|
|
Style Transfer (Q)
|
98% |
1102
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
100
3.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
101
3.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
404
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.4 IPS |
|
|
Text Classification (HP)
|
100% |
156
207.8 IPS |
|
|
Text Classification (Q)
|
91% |
264
355.3 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (Q)
|
57% |
214
5.24 IPS |
