samsung SM-F741U1
Geekbench AI Score
274
Single Precision Score
15373
Half Precision Score
36660
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 11 2024 08:46 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F741U1 |
| Model ID | samsung SM-F741U1 |
| 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% |
148
27.6 IPS |
|
|
Image Classification (HP)
|
100% |
16045
2.98 KIPS |
|
|
Image Classification (Q)
|
99% |
34855
6.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
10595
171.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
27450
446.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
294
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
98719
115.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
393336
460.4 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
14561
1.16 KIPS |
|
|
Object Detection (Q)
|
90% |
18987
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
406
4.82 IPS |
|
|
Face Detection (HP)
|
100% |
31520
374.5 IPS |
|
|
Face Detection (Q)
|
97% |
102589
1.22 KIPS |
|
|
Depth Estimation (SP)
|
100% |
369
2.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
57790
445.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
116991
960.1 IPS |
|
|
Style Transfer (SP)
|
100% |
589
0.76 IPS |
|
|
Style Transfer (HP)
|
24% |
3825
115.7 IPS |
|
|
Style Transfer (Q)
|
98% |
302341
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43950
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104460
3.87 KIPS |
|
|
Text Classification (SP)
|
100% |
254
338.8 IPS |
|
|
Text Classification (HP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6251
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (HP)
|
100% |
3213
55.3 IPS |
|
|
Machine Translation (Q)
|
30% |
259
52.0 IPS |
