HONOR SDY-AN00
Geekbench AI Score
699
Single Precision Score
700
Half Precision Score
1376
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 08 2025 07:39 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
329
61.2 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (Q)
|
100% |
979
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1148
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1319
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1492
1.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
2516
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
83% |
944
76.3 IPS |
|
|
Face Detection (SP)
|
100% |
1056
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
2287
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1336
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1224
9.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
2299
21.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2679
3.48 IPS |
|
|
Style Transfer (HP)
|
89% |
2646
3.44 IPS |
|
|
Style Transfer (Q)
|
98% |
5808
7.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
634
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1390
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
407
543.7 IPS |
|
|
Text Classification (HP)
|
100% |
392
523.8 IPS |
|
|
Text Classification (Q)
|
88% |
675
909.8 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (Q)
|
50% |
320
11.4 IPS |
