samsung SM-F741U
Geekbench AI Score
288
Single Precision Score
280
Half Precision Score
613
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Ssaubers1 |
| Upload Date | September 18 2024 10:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F741U |
| Model ID | samsung SM-F741U |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (Q)
|
99% |
493
91.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
559
9.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
400
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
311
0.36 IPS |
|
|
Pose Estimation (Q)
|
98% |
1098
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
87% |
443
35.5 IPS |
|
|
Face Detection (SP)
|
100% |
440
5.22 IPS |
|
|
Face Detection (HP)
|
100% |
444
5.28 IPS |
|
|
Face Detection (Q)
|
97% |
920
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
342
2.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
772
7.01 IPS |
|
|
Style Transfer (SP)
|
100% |
607
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
559
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1367
1.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
177
6.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
582
21.6 IPS |
|
|
Text Classification (SP)
|
100% |
216
287.8 IPS |
|
|
Text Classification (HP)
|
100% |
216
288.1 IPS |
|
|
Text Classification (Q)
|
91% |
347
466.1 IPS |
|
|
Machine Translation (SP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.76 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.03 IPS |
