samsung SM-S711N
Geekbench AI Score
1634
Single Precision Score
1653
Half Precision Score
2550
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 01:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S711N |
| Model ID | samsung SM-S711N |
| 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% |
1487
276.6 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.8 IPS |
|
|
Image Classification (Q)
|
100% |
2267
421.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2492
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2701
3.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
4142
4.91 IPS |
|
|
Object Detection (SP)
|
98% |
937
74.6 IPS |
|
|
Object Detection (HP)
|
98% |
1103
87.8 IPS |
|
|
Object Detection (Q)
|
83% |
1785
144.2 IPS |
|
|
Face Detection (SP)
|
100% |
2152
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2240
26.6 IPS |
|
|
Face Detection (Q)
|
95% |
4033
48.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2764
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2843
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4605
42.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5686
7.38 IPS |
|
|
Style Transfer (HP)
|
89% |
5570
7.23 IPS |
|
|
Style Transfer (Q)
|
98% |
9651
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1201
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2479
91.9 IPS |
|
|
Text Classification (SP)
|
100% |
466
621.4 IPS |
|
|
Text Classification (HP)
|
99% |
458
611.7 IPS |
|
|
Text Classification (Q)
|
88% |
971
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
647
23.0 IPS |
