ZONKO D106
Geekbench AI Score
339
Single Precision Score
348
Half Precision Score
616
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Killcount75 |
| Upload Date | January 23 2025 11:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | ZONKO D106 |
| Model ID | ZONKO D106 |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (Q)
|
100% |
423
78.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
591
9.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
786
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
811
0.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
1327
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (Q)
|
83% |
432
34.9 IPS |
|
|
Face Detection (SP)
|
100% |
433
5.14 IPS |
|
|
Face Detection (HP)
|
100% |
438
5.21 IPS |
|
|
Face Detection (Q)
|
95% |
1036
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
400
3.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
565
4.36 IPS |
|
|
Depth Estimation (Q)
|
64% |
1143
10.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1502
1.95 IPS |
|
|
Style Transfer (HP)
|
89% |
1478
1.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3063
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
661
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
169
226.2 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.5 IPS |
|
|
Text Classification (Q)
|
88% |
192
258.6 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (Q)
|
50% |
121
4.29 IPS |
