samsung SM-S731B
Geekbench AI Score
1297
Single Precision Score
2281
Half Precision Score
1870
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 13 2026 03:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S731B |
| Model ID | samsung SM-S731B |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
749
139.2 IPS |
|
|
Image Classification (HP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (Q)
|
100% |
1645
306.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2190
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6135
7.16 IPS |
|
|
Pose Estimation (HP)
|
99% |
12750
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13045
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (HP)
|
99% |
1046
83.0 IPS |
|
|
Object Detection (Q)
|
84% |
964
77.7 IPS |
|
|
Face Detection (SP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
4731
56.2 IPS |
|
|
Face Detection (Q)
|
97% |
4208
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3743
28.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6724
52.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4837
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13430
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23705
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23640
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3499
129.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3663
135.8 IPS |
|
|
Text Classification (SP)
|
29% |
22
386.2 IPS |
|
|
Text Classification (HP)
|
29% |
34
592.1 IPS |
|
|
Text Classification (Q)
|
30% |
33
527.6 IPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
42% |
199
12.9 IPS |
