samsung SM-S711B
Geekbench AI Score
1532
Single Precision Score
1516
Half Precision Score
2327
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 03:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S711B |
| Model ID | samsung SM-S711B |
| Motherboard | s5e9925 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 4 Cores @ 1.82 GHz |
| Cluster 2 | 3 Cores @ 2.52 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (Q)
|
100% |
2166
402.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2399
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2603
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
3884
4.61 IPS |
|
|
Object Detection (SP)
|
98% |
1074
85.5 IPS |
|
|
Object Detection (HP)
|
98% |
1196
95.2 IPS |
|
|
Object Detection (Q)
|
83% |
1646
132.9 IPS |
|
|
Face Detection (SP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
1986
23.6 IPS |
|
|
Face Detection (Q)
|
95% |
3599
43.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2449
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2073
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3387
31.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4598
5.97 IPS |
|
|
Style Transfer (HP)
|
89% |
4737
6.15 IPS |
|
|
Style Transfer (Q)
|
98% |
8745
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1068
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2493
92.4 IPS |
|
|
Text Classification (SP)
|
100% |
438
584.6 IPS |
|
|
Text Classification (HP)
|
99% |
464
619.4 IPS |
|
|
Text Classification (Q)
|
88% |
913
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
50% |
580
20.6 IPS |
