Welcome S25 Ultra
Geekbench AI Score
105
Single Precision Score
104
Half Precision Score
76
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 06:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Welcome S25 Ultra |
| Model ID | Welcome S25 Ultra |
| Motherboard | s9863a1h10 |
| 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 | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
67
12.4 IPS |
|
|
Image Classification (HP)
|
100% |
67
12.5 IPS |
|
|
Image Classification (Q)
|
100% |
55
10.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
72
1.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
70
1.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
65
1.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
345
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
62
4.91 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.81 IPS |
|
|
Object Detection (Q)
|
85% |
53
4.28 IPS |
|
|
Face Detection (SP)
|
100% |
193
2.29 IPS |
|
|
Face Detection (HP)
|
100% |
184
2.18 IPS |
|
|
Face Detection (Q)
|
97% |
150
1.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
228
1.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
226
1.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
169
1.54 IPS |
|
|
Style Transfer (SP)
|
100% |
617
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
610
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
579
0.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
135
5.00 IPS |
|
|
Text Classification (SP)
|
35% |
7
62.5 IPS |
|
|
Text Classification (HP)
|
35% |
7
63.7 IPS |
|
|
Text Classification (Q)
|
32% |
5
58.9 IPS |
|
|
Machine Translation (SP)
|
100% |
54
0.92 IPS |
|
|
Machine Translation (HP)
|
100% |
53
0.91 IPS |
|
|
Machine Translation (Q)
|
41% |
10
0.67 IPS |
