samsung SM-X205
Geekbench AI Score
260
Single Precision Score
284
Half Precision Score
478
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 08:48 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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)
|
100% |
140
26.1 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
100% |
302
56.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
599
9.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
630
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
586
0.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
990
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
335
27.1 IPS |
|
|
Face Detection (SP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (HP)
|
100% |
380
4.51 IPS |
|
|
Face Detection (Q)
|
95% |
896
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
368
2.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
398
3.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
613
5.61 IPS |
|
|
Style Transfer (SP)
|
89% |
1081
1.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1092
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2001
2.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
255
9.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
492
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
125
167.4 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.3 IPS |
|
|
Text Classification (Q)
|
88% |
186
251.4 IPS |
|
|
Machine Translation (SP)
|
100% |
183
3.16 IPS |
|
|
Machine Translation (HP)
|
100% |
190
3.28 IPS |
|
|
Machine Translation (Q)
|
50% |
105
3.72 IPS |
