samsung SM-A035F
Geekbench AI Score
293
Single Precision Score
291
Half Precision Score
510
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 10:29 AM |
| Views | 3 |
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% |
134
25.0 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.7 IPS |
|
|
Image Classification (Q)
|
100% |
436
81.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
493
8.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
680
0.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
713
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
334
27.0 IPS |
|
|
Face Detection (SP)
|
100% |
389
4.62 IPS |
|
|
Face Detection (HP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (Q)
|
95% |
893
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
498
3.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
511
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
821
7.52 IPS |
|
|
Style Transfer (SP)
|
89% |
1296
1.68 IPS |
|
|
Style Transfer (HP)
|
89% |
1289
1.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1828
2.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
265
9.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
619
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
140
186.4 IPS |
|
|
Text Classification (HP)
|
100% |
126
168.4 IPS |
|
|
Text Classification (Q)
|
88% |
259
348.8 IPS |
|
|
Machine Translation (SP)
|
100% |
210
3.61 IPS |
|
|
Machine Translation (HP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (Q)
|
50% |
109
3.89 IPS |
