samsung SM-F741B
Geekbench AI Score
2275
Single Precision Score
2252
Half Precision Score
3174
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | budbrain |
| Upload Date | September 19 2024 04:22 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2518
468.2 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.2 IPS |
|
|
Image Classification (Q)
|
100% |
3498
650.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2767
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4438
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4368
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3951
4.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
9017
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1955
155.6 IPS |
|
|
Object Detection (HP)
|
98% |
2043
162.5 IPS |
|
|
Object Detection (Q)
|
83% |
2870
231.8 IPS |
|
|
Face Detection (SP)
|
100% |
3922
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
3938
46.8 IPS |
|
|
Face Detection (Q)
|
95% |
4597
54.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2867
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2945
22.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4109
37.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6421
8.34 IPS |
|
|
Style Transfer (HP)
|
89% |
6407
8.32 IPS |
|
|
Style Transfer (Q)
|
98% |
11742
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1339
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2900
107.5 IPS |
|
|
Text Classification (SP)
|
100% |
543
724.3 IPS |
|
|
Text Classification (HP)
|
99% |
540
721.0 IPS |
|
|
Text Classification (Q)
|
88% |
756
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1193
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
532
18.9 IPS |
