HUAWEI ALT-AL00
Geekbench AI Score
274
Single Precision Score
276
Half Precision Score
634
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 06:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ALT-AL00 |
| Model ID | HUAWEI ALT-AL00 |
| Motherboard | ALT |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
207
38.6 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
99% |
587
109.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
425
6.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
269
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1029
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
87% |
428
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
392
4.65 IPS |
|
|
Face Detection (HP)
|
100% |
395
4.70 IPS |
|
|
Face Detection (Q)
|
97% |
880
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
342
2.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
344
2.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
836
7.59 IPS |
|
|
Style Transfer (SP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1643
2.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
602
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
220
293.4 IPS |
|
|
Text Classification (HP)
|
100% |
221
294.9 IPS |
|
|
Text Classification (Q)
|
91% |
391
525.8 IPS |
|
|
Machine Translation (SP)
|
100% |
368
6.33 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
57% |
337
8.23 IPS |
