HONOR SDY-AN00
Geekbench AI Score
542
Single Precision Score
709
Half Precision Score
591
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 08 2025 08:07 AM |
| Views | 12 |
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% |
232
43.1 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
97% |
238
44.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1111
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3288
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
7101
8.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
6918
8.11 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
99% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
83% |
283
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (Q)
|
96% |
1694
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1854
14.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2741
21.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
2390
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4325
5.56 IPS |
|
|
Style Transfer (HP)
|
100% |
11005
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10542
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
725
26.9 IPS |
|
|
Text Classification (SP)
|
35% |
9
78.9 IPS |
|
|
Text Classification (HP)
|
29% |
6
99.9 IPS |
|
|
Text Classification (Q)
|
29% |
6
99.7 IPS |
|
|
Machine Translation (SP)
|
100% |
184
3.16 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.92 IPS |
|
|
Machine Translation (Q)
|
43% |
55
3.23 IPS |
