samsung SM-S711B
Geekbench AI Score
967
Single Precision Score
1123
Half Precision Score
1154
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Namelessmint |
| Upload Date | January 16 2025 11:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
374
69.6 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (Q)
|
99% |
418
77.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1306
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1921
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
2612
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
86% |
424
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2272
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
1801
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2099
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2611
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2156
20.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6018
7.74 IPS |
|
|
Style Transfer (HP)
|
100% |
8185
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8059
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
876
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1186
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1173
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
255
340.8 IPS |
|
|
Text Classification (HP)
|
100% |
257
343.1 IPS |
|
|
Text Classification (Q)
|
91% |
481
646.8 IPS |
|
|
Machine Translation (SP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.12 IPS |
|
|
Machine Translation (Q)
|
57% |
394
9.63 IPS |
