samsung SM-F741W
Geekbench AI Score
276
Single Precision Score
21453
Half Precision Score
48577
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
177
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
16778
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
41455
7.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
10697
173.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
29172
474.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
99847
116.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
394929
462.2 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
15205
1.21 KIPS |
|
|
Object Detection (Q)
|
86% |
18948
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
387
4.59 IPS |
|
|
Face Detection (HP)
|
100% |
30703
364.8 IPS |
|
|
Face Detection (Q)
|
97% |
98955
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
365
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
63112
486.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
112932
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
565
0.73 IPS |
|
|
Style Transfer (HP)
|
98% |
84849
109.4 IPS |
|
|
Style Transfer (Q)
|
98% |
422403
544.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44070
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103584
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
220
293.3 IPS |
|
|
Text Classification (HP)
|
100% |
3081
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6712
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
421
7.26 IPS |
|
|
Machine Translation (HP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2464
64.6 IPS |
