samsung SM-S711B
Geekbench AI Score
1579
Single Precision Score
1558
Half Precision Score
2291
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 14 2024 02:55 AM |
| Views | 2 |
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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
1220
226.9 IPS |
|
|
Image Classification (Q)
|
100% |
1803
335.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1992
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2485
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2480
2.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
4002
4.75 IPS |
|
|
Object Detection (SP)
|
98% |
1104
87.9 IPS |
|
|
Object Detection (HP)
|
98% |
1216
96.8 IPS |
|
|
Object Detection (Q)
|
83% |
1778
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (Q)
|
95% |
3920
46.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2653
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2656
20.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3430
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5138
6.67 IPS |
|
|
Style Transfer (HP)
|
89% |
5156
6.69 IPS |
|
|
Style Transfer (Q)
|
98% |
8940
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2791
103.4 IPS |
|
|
Text Classification (SP)
|
100% |
551
735.7 IPS |
|
|
Text Classification (HP)
|
99% |
551
735.6 IPS |
|
|
Text Classification (Q)
|
88% |
932
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
499
17.7 IPS |
