samsung SM-S711N
Geekbench AI Score
1834
Single Precision Score
1677
Half Precision Score
2802
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 05:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1523
283.1 IPS |
|
|
Image Classification (HP)
|
100% |
626
116.5 IPS |
|
|
Image Classification (Q)
|
100% |
1486
276.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2483
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2652
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2661
3.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
5713
6.78 IPS |
|
|
Object Detection (SP)
|
98% |
1343
106.9 IPS |
|
|
Object Detection (HP)
|
98% |
1242
98.8 IPS |
|
|
Object Detection (Q)
|
83% |
1882
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
2493
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (Q)
|
95% |
4708
56.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2920
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2925
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4892
44.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6096
7.91 IPS |
|
|
Style Transfer (HP)
|
89% |
6031
7.83 IPS |
|
|
Style Transfer (Q)
|
98% |
12329
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3224
119.4 IPS |
|
|
Text Classification (SP)
|
100% |
681
909.2 IPS |
|
|
Text Classification (HP)
|
99% |
689
919.3 IPS |
|
|
Text Classification (Q)
|
88% |
1169
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
703
25.0 IPS |
