HONOR ELZ-AN00
Geekbench AI Score
394
Single Precision Score
387
Half Precision Score
392
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
411
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.5 IPS |
|
|
Image Classification (Q)
|
97% |
360
67.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
228
3.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
392
0.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
392
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (Q)
|
89% |
207
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
1058
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
998
7.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
1203
9.29 IPS |
|
|
Depth Estimation (Q)
|
62% |
1006
9.52 IPS |
|
|
Style Transfer (SP)
|
100% |
2168
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3714
4.77 IPS |
|
|
Style Transfer (Q)
|
98% |
3679
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
463
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
52
69.6 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.5 IPS |
|
|
Text Classification (Q)
|
91% |
97
129.9 IPS |
|
|
Machine Translation (SP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.83 IPS |
