HUAWEI GRL-AL10
Geekbench AI Score
449
Single Precision Score
271
Half Precision Score
268
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 05:34 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI GRL-AL10 |
| Model ID | HUAWEI GRL-AL10 |
| Motherboard | GRL |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3331 revision 0 |
| Base Frequency | 1.55 GHz |
| Cluster 1 | 4 Cores @ 1.55 GHz |
| Cluster 2 | 3 Cores @ 2.18 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 15.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
96% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
202
3.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
231
0.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
229
0.27 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
118
9.33 IPS |
|
|
Object Detection (Q)
|
85% |
114
9.17 IPS |
|
|
Face Detection (SP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (Q)
|
97% |
437
5.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
700
5.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
323
2.49 IPS |
|
|
Depth Estimation (Q)
|
63% |
262
2.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1356
1.74 IPS |
|
|
Style Transfer (HP)
|
100% |
724
0.93 IPS |
|
|
Style Transfer (Q)
|
98% |
719
0.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
157
5.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
155
5.75 IPS |
|
|
Text Classification (SP)
|
100% |
316
422.3 IPS |
|
|
Text Classification (HP)
|
100% |
317
422.8 IPS |
|
|
Text Classification (Q)
|
91% |
492
661.5 IPS |
|
|
Machine Translation (SP)
|
100% |
490
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.21 IPS |
|
|
Machine Translation (Q)
|
57% |
368
8.99 IPS |
