samsung SM-X205
Geekbench AI Score
89
Single Precision Score
89
Half Precision Score
150
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 26 2024 01:55 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 3.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
49
9.16 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.21 IPS |
|
|
Image Classification (Q)
|
97% |
94
17.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
68
1.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
69
1.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
112
1.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
99
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
97
0.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
206
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
51
4.01 IPS |
|
|
Object Detection (HP)
|
100% |
51
4.02 IPS |
|
|
Object Detection (Q)
|
89% |
98
7.88 IPS |
|
|
Face Detection (SP)
|
100% |
135
1.60 IPS |
|
|
Face Detection (HP)
|
100% |
136
1.62 IPS |
|
|
Face Detection (Q)
|
97% |
248
2.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
121
0.93 IPS |
|
|
Depth Estimation (HP)
|
100% |
122
0.94 IPS |
|
|
Depth Estimation (Q)
|
73% |
214
1.75 IPS |
|
|
Style Transfer (SP)
|
100% |
212
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
225
0.29 IPS |
|
|
Style Transfer (Q)
|
98% |
439
0.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60
2.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60
2.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
122
4.51 IPS |
|
|
Text Classification (SP)
|
100% |
71
95.0 IPS |
|
|
Text Classification (HP)
|
100% |
72
95.5 IPS |
|
|
Text Classification (Q)
|
91% |
104
139.3 IPS |
|
|
Machine Translation (SP)
|
100% |
129
2.21 IPS |
|
|
Machine Translation (HP)
|
100% |
126
2.18 IPS |
|
|
Machine Translation (Q)
|
57% |
96
2.36 IPS |
