samsung SM-X200
Geekbench AI Score
314
Single Precision Score
315
Half Precision Score
538
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | xRoach |
| Upload Date | January 11 2025 09:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM UNISOC |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X200 |
| Model ID | samsung SM-X200 |
| 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 | 2.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
152
28.3 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
100% |
453
84.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
554
9.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
682
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
620
0.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
745
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
83% |
374
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.15 IPS |
|
|
Face Detection (Q)
|
95% |
1037
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
477
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
588
4.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
935
8.56 IPS |
|
|
Style Transfer (SP)
|
89% |
1227
1.59 IPS |
|
|
Style Transfer (HP)
|
89% |
1246
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
2045
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
551
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
177
236.4 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.7 IPS |
|
|
Text Classification (Q)
|
88% |
230
309.7 IPS |
|
|
Machine Translation (SP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.78 IPS |
|
|
Machine Translation (Q)
|
50% |
117
4.14 IPS |
