samsung SM-A035F
Geekbench AI Score
291
Single Precision Score
290
Half Precision Score
452
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 15 2025 01:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM UNISOC |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A035F |
| Model ID | samsung SM-A035F |
| Motherboard | ums9230_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 | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 3.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
150
28.0 IPS |
|
|
Image Classification (Q)
|
100% |
329
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
501
8.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
693
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
683
0.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
699
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
83% |
276
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (Q)
|
95% |
792
9.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
496
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
475
3.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
716
6.56 IPS |
|
|
Style Transfer (SP)
|
89% |
1327
1.72 IPS |
|
|
Style Transfer (HP)
|
89% |
1292
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1827
2.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
405
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
136
181.9 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.6 IPS |
|
|
Text Classification (Q)
|
88% |
246
332.3 IPS |
|
|
Machine Translation (SP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (HP)
|
100% |
189
3.26 IPS |
|
|
Machine Translation (Q)
|
50% |
110
3.90 IPS |
