samsung SM-M055F
Geekbench AI Score
331
Single Precision Score
313
Half Precision Score
568
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 03:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-M055F |
| Model ID | samsung SM-M055F |
| Motherboard | a05m |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
205
38.2 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
100% |
440
81.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
607
9.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
613
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
523
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
697
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
83% |
378
30.5 IPS |
|
|
Face Detection (SP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (HP)
|
100% |
321
3.82 IPS |
|
|
Face Detection (Q)
|
95% |
739
8.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
478
3.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
953
8.73 IPS |
|
|
Style Transfer (SP)
|
89% |
1330
1.73 IPS |
|
|
Style Transfer (HP)
|
89% |
1348
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
2350
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
255
9.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
643
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
213
284.8 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.9 IPS |
|
|
Text Classification (Q)
|
88% |
295
398.3 IPS |
|
|
Machine Translation (SP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.71 IPS |
