samsung SM-F741W
Geekbench AI Score
339
Single Precision Score
332
Half Precision Score
734
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F741W |
| Model ID | samsung SM-F741W |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
192
35.7 IPS |
|
|
Image Classification (HP)
|
100% |
193
36.0 IPS |
|
|
Image Classification (Q)
|
99% |
500
93.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
540
8.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
322
0.38 IPS |
|
|
Pose Estimation (Q)
|
98% |
1312
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
87% |
584
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
532
6.32 IPS |
|
|
Face Detection (HP)
|
100% |
537
6.38 IPS |
|
|
Face Detection (Q)
|
97% |
1116
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
416
3.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
878
7.96 IPS |
|
|
Style Transfer (SP)
|
100% |
646
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
642
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1561
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
221
8.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
721
26.7 IPS |
|
|
Text Classification (SP)
|
100% |
281
374.8 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.5 IPS |
|
|
Text Classification (Q)
|
91% |
511
687.0 IPS |
|
|
Machine Translation (SP)
|
100% |
547
9.43 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
57% |
390
9.52 IPS |
