samsung SM-A035M
Geekbench AI Score
290
Single Precision Score
288
Half Precision Score
432
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 12:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM UNISOC |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A035M |
| Model ID | samsung SM-A035M |
| 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% |
140
26.1 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (Q)
|
100% |
309
57.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
433
7.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
687
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
673
0.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
698
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
83% |
294
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
386
4.59 IPS |
|
|
Face Detection (HP)
|
100% |
386
4.58 IPS |
|
|
Face Detection (Q)
|
95% |
804
9.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
536
4.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
477
3.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
731
6.69 IPS |
|
|
Style Transfer (SP)
|
89% |
1267
1.65 IPS |
|
|
Style Transfer (HP)
|
89% |
1308
1.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1725
2.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
261
9.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
416
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
133
178.0 IPS |
|
|
Text Classification (HP)
|
100% |
134
178.9 IPS |
|
|
Text Classification (Q)
|
88% |
170
229.0 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (HP)
|
100% |
197
3.39 IPS |
|
|
Machine Translation (Q)
|
50% |
115
4.08 IPS |
