HONOR SDY-AN00
Geekbench AI Score
523
Single Precision Score
698
Half Precision Score
561
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 08 2025 07:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6895Z/CZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR SDY-AN00 |
| Model ID | HONOR SDY-AN00 |
| Motherboard | k6895v1_64 |
| CPU Information | |
|---|---|
| Name | ARM MT6895Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.75 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
989
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2916
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
6446
7.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
6184
7.25 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
99% |
301
23.9 IPS |
|
|
Object Detection (Q)
|
83% |
298
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (Q)
|
96% |
1606
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1554
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2446
18.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
1917
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4085
5.25 IPS |
|
|
Style Transfer (HP)
|
100% |
9742
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8741
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
769
28.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
768
28.5 IPS |
|
|
Text Classification (SP)
|
35% |
9
78.4 IPS |
|
|
Text Classification (HP)
|
29% |
6
98.2 IPS |
|
|
Text Classification (Q)
|
29% |
6
100.9 IPS |
|
|
Machine Translation (SP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (HP)
|
100% |
235
4.06 IPS |
|
|
Machine Translation (Q)
|
43% |
57
3.34 IPS |
