SKY_PAD10Max SKY PAD10Max
Geekbench AI Score
199
Single Precision Score
201
Half Precision Score
224
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 24 2025 12:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8766B |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | SKY_PAD10Max SKY PAD10Max |
| Model ID | SKY_PAD10Max SKY PAD10Max |
| Motherboard | SKY |
| CPU Information | |
|---|---|
| Name | ARM MT8766B |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (Q)
|
100% |
143
26.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
205
3.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
457
0.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
325
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
100
7.96 IPS |
|
|
Object Detection (HP)
|
100% |
101
8.01 IPS |
|
|
Object Detection (Q)
|
83% |
145
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
246
2.92 IPS |
|
|
Face Detection (HP)
|
100% |
244
2.90 IPS |
|
|
Face Detection (Q)
|
95% |
386
4.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
283
2.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
308
2.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
337
3.08 IPS |
|
|
Style Transfer (SP)
|
89% |
811
1.05 IPS |
|
|
Style Transfer (HP)
|
89% |
794
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
808
1.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
168
6.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
171
6.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
190
7.02 IPS |
|
|
Text Classification (SP)
|
100% |
107
142.9 IPS |
|
|
Text Classification (HP)
|
100% |
106
141.2 IPS |
|
|
Text Classification (Q)
|
88% |
133
180.0 IPS |
|
|
Machine Translation (SP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (HP)
|
100% |
177
3.04 IPS |
|
|
Machine Translation (Q)
|
50% |
87
3.08 IPS |
