samsung SM-F741B
Geekbench AI Score
344
Single Precision Score
332
Half Precision Score
728
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 10:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F741B |
| Model ID | samsung SM-F741B |
| 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% |
319
59.3 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (Q)
|
99% |
816
152.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
805
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
314
0.37 IPS |
|
|
Pose Estimation (Q)
|
98% |
1164
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
87% |
472
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
440
5.23 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (Q)
|
97% |
966
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
392
3.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
394
3.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
875
7.94 IPS |
|
|
Style Transfer (SP)
|
100% |
642
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
641
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1564
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
671
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
248
330.6 IPS |
|
|
Text Classification (HP)
|
100% |
248
330.6 IPS |
|
|
Text Classification (Q)
|
91% |
400
537.5 IPS |
|
|
Machine Translation (SP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.05 IPS |
