HONOR ELZ-AN00
Geekbench AI Score
335
Single Precision Score
315
Half Precision Score
609
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
253
47.1 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
100% |
469
87.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
510
8.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
632
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1090
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
83% |
485
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
381
4.53 IPS |
|
|
Face Detection (HP)
|
100% |
388
4.61 IPS |
|
|
Face Detection (Q)
|
95% |
939
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
529
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
528
4.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
979
8.97 IPS |
|
|
Style Transfer (SP)
|
89% |
1129
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1144
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2370
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.1 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.7 IPS |
|
|
Text Classification (Q)
|
88% |
268
361.0 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.18 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.13 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.34 IPS |
