samsung SM-S711B
Geekbench AI Score
1900
Single Precision Score
1909
Half Precision Score
2993
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Namelessmint |
| Upload Date | February 12 2025 02:05 PM |
| Views | 16 |
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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
1512
281.2 IPS |
|
|
Image Classification (Q)
|
100% |
2226
414.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2479
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2861
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2821
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
6019
7.14 IPS |
|
|
Object Detection (SP)
|
98% |
1383
110.0 IPS |
|
|
Object Detection (HP)
|
98% |
1408
112.0 IPS |
|
|
Object Detection (Q)
|
83% |
1980
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (Q)
|
95% |
4841
57.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3095
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2991
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5002
45.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6455
8.38 IPS |
|
|
Style Transfer (HP)
|
89% |
6443
8.36 IPS |
|
|
Style Transfer (Q)
|
98% |
12845
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1509
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3377
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
658
878.5 IPS |
|
|
Text Classification (HP)
|
99% |
655
874.3 IPS |
|
|
Text Classification (Q)
|
88% |
1157
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
722
25.6 IPS |
