HUAWEI BAL-AL60
Geekbench AI Score
213
Single Precision Score
213
Half Precision Score
513
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | September 28 2024 06:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM SM7325 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI BAL-AL60 |
| Model ID | HUAWEI BAL-AL60 |
| Motherboard | BAL |
| CPU Information | |
|---|---|
| Name | ARM SM7325 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
97% |
337
62.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
372
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
874
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.87 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.86 IPS |
|
|
Object Detection (Q)
|
89% |
366
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
317
3.76 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.81 IPS |
|
|
Face Detection (Q)
|
97% |
732
8.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
277
2.14 IPS |
|
|
Depth Estimation (HP)
|
100% |
279
2.15 IPS |
|
|
Depth Estimation (Q)
|
73% |
760
6.22 IPS |
|
|
Style Transfer (SP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1316
1.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
138
5.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
484
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
188
250.9 IPS |
|
|
Text Classification (HP)
|
100% |
189
251.6 IPS |
|
|
Text Classification (Q)
|
91% |
347
466.2 IPS |
|
|
Machine Translation (SP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (Q)
|
57% |
261
6.38 IPS |
