samsung SM-S711B
Geekbench AI Score
1813
Single Precision Score
1739
Half Precision Score
2753
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | neocoretexxx |
| Upload Date | March 25 2025 03:12 AM |
| Views | 9 |
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% |
1537
285.8 IPS |
|
|
Image Classification (HP)
|
100% |
1422
264.4 IPS |
|
|
Image Classification (Q)
|
100% |
2271
422.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2493
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2769
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2685
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5670
6.72 IPS |
|
|
Object Detection (SP)
|
98% |
1207
96.0 IPS |
|
|
Object Detection (HP)
|
98% |
999
79.5 IPS |
|
|
Object Detection (Q)
|
83% |
1448
117.0 IPS |
|
|
Face Detection (SP)
|
100% |
2234
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2227
26.5 IPS |
|
|
Face Detection (Q)
|
95% |
4107
49.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2975
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2962
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4929
45.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6130
7.96 IPS |
|
|
Style Transfer (HP)
|
89% |
5962
7.74 IPS |
|
|
Style Transfer (Q)
|
98% |
12455
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3184
118.0 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.6 IPS |
|
|
Text Classification (HP)
|
99% |
609
812.8 IPS |
|
|
Text Classification (Q)
|
88% |
1073
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
626
22.2 IPS |
