samsung SM-F741U
Geekbench AI Score
2216
Single Precision Score
2244
Half Precision Score
2966
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 10:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.0 IPS |
|
|
Image Classification (Q)
|
100% |
3482
647.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4396
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4376
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
3608
4.28 IPS |
|
|
Object Detection (SP)
|
98% |
1479
117.7 IPS |
|
|
Object Detection (HP)
|
98% |
1506
119.9 IPS |
|
|
Object Detection (Q)
|
83% |
1888
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (Q)
|
95% |
4577
54.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3052
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2987
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4667
42.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7239
9.40 IPS |
|
|
Style Transfer (HP)
|
89% |
7234
9.39 IPS |
|
|
Style Transfer (Q)
|
98% |
13479
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1450
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3392
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
590
788.1 IPS |
|
|
Text Classification (HP)
|
99% |
628
838.1 IPS |
|
|
Text Classification (Q)
|
88% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1396
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
600
21.3 IPS |
