HONOR ELZ-AN00
Geekbench AI Score
310
Single Precision Score
311
Half Precision Score
794
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM SM8350 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR ELZ-AN00 |
| Model ID | HONOR ELZ-AN00 |
| Motherboard | ELZ |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.8 IPS |
|
|
Image Classification (Q)
|
99% |
572
106.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
240
3.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
579
9.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
311
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
312
0.36 IPS |
|
|
Pose Estimation (Q)
|
98% |
1336
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (Q)
|
87% |
602
48.3 IPS |
|
|
Face Detection (SP)
|
100% |
470
5.59 IPS |
|
|
Face Detection (HP)
|
100% |
470
5.58 IPS |
|
|
Face Detection (Q)
|
97% |
1146
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
397
3.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
398
3.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1034
9.39 IPS |
|
|
Style Transfer (SP)
|
100% |
661
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
1738
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
194
7.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
196
7.23 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
844
31.3 IPS |
|
|
Text Classification (SP)
|
100% |
282
377.0 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.7 IPS |
|
|
Text Classification (Q)
|
91% |
544
730.8 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
57% |
398
9.73 IPS |
