samsung SM-X205
Geekbench AI Score
24
Single Precision Score
371
Half Precision Score
284
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 09:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM UNISOC |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X205 |
| Model ID | samsung SM-X205 |
| Motherboard | ums512_25c10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM UNISOC |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
24.0 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.5 IPS |
|
|
Image Classification (Q)
|
97% |
205
38.2 IPS |
|
|
Image Segmentation (SP)
|
73% |
176
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
356
5.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
763
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1483
1.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
1455
1.70 IPS |
|
|
Object Detection (SP)
|
1% |
0
9.52 IPS |
|
|
Object Detection (HP)
|
99% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
83% |
222
17.9 IPS |
|
|
Face Detection (SP)
|
0% |
0
5.69 IPS |
|
|
Face Detection (HP)
|
100% |
957
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
813
9.69 IPS |
|
|
Depth Estimation (SP)
|
1% |
1
3.65 IPS |
|
|
Depth Estimation (HP)
|
98% |
908
7.02 IPS |
|
|
Depth Estimation (Q)
|
62% |
718
6.82 IPS |
|
|
Style Transfer (SP)
|
100% |
1063
1.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2151
2.77 IPS |
|
|
Style Transfer (Q)
|
98% |
2134
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
573
21.2 IPS |
|
|
Text Classification (SP)
|
35% |
9
83.7 IPS |
|
|
Text Classification (HP)
|
35% |
8
70.7 IPS |
|
|
Text Classification (Q)
|
32% |
5
70.2 IPS |
|
|
Machine Translation (SP)
|
100% |
193
3.33 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.09 IPS |
|
|
Machine Translation (Q)
|
43% |
42
2.43 IPS |
