samsung SM-X205
Geekbench AI Score
330
Single Precision Score
328
Half Precision Score
569
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 09:27 AM |
| Views | 6 |
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% |
164
30.4 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (Q)
|
100% |
366
68.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
547
8.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
726
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
688
0.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
869
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (Q)
|
83% |
449
36.3 IPS |
|
|
Face Detection (SP)
|
100% |
464
5.52 IPS |
|
|
Face Detection (HP)
|
100% |
443
5.27 IPS |
|
|
Face Detection (Q)
|
95% |
1102
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
557
4.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
533
4.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
1007
9.23 IPS |
|
|
Style Transfer (SP)
|
89% |
1413
1.83 IPS |
|
|
Style Transfer (HP)
|
89% |
1482
1.92 IPS |
|
|
Style Transfer (Q)
|
98% |
2294
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
568
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
177
236.1 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.5 IPS |
|
|
Text Classification (Q)
|
88% |
235
316.3 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
50% |
135
4.80 IPS |
