WALTON ORBIT Y70c
Geekbench AI Score
264
Single Precision Score
259
Half Precision Score
481
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 12:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | WALTON ORBIT Y70c |
| Model ID | WALTON ORBIT Y70c |
| Motherboard | WALTON |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.60 GHz |
| Memory Information | |
|---|---|
| Size | 2.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
128
23.8 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.2 IPS |
|
|
Image Classification (Q)
|
100% |
326
60.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
449
7.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
594
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
588
0.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
1148
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (Q)
|
83% |
333
26.9 IPS |
|
|
Face Detection (SP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (HP)
|
100% |
357
4.24 IPS |
|
|
Face Detection (Q)
|
95% |
824
9.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
446
3.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
366
2.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
944
8.65 IPS |
|
|
Style Transfer (SP)
|
89% |
1337
1.74 IPS |
|
|
Style Transfer (HP)
|
89% |
1340
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2490
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
205
7.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
580
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
110
147.4 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.1 IPS |
|
|
Text Classification (Q)
|
88% |
132
178.1 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.28 IPS |
|
|
Machine Translation (HP)
|
100% |
191
3.29 IPS |
|
|
Machine Translation (Q)
|
50% |
80
2.83 IPS |
