samsung SM-S731B
Geekbench AI Score
3511
Single Precision Score
25400
Half Precision Score
47689
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | April 16 2026 04:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| 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% |
1614
300.1 IPS |
|
|
Image Classification (HP)
|
100% |
18112
3.37 KIPS |
|
|
Image Classification (Q)
|
100% |
34041
6.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3076
49.9 IPS |
|
|
Image Segmentation (HP)
|
97% |
10291
167.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
29162
474.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14084
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
85181
99.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
323791
379.2 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
14758
1.17 KIPS |
|
|
Object Detection (Q)
|
90% |
25434
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
5054
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
41411
492.1 IPS |
|
|
Face Detection (Q)
|
97% |
85604
1.02 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5605
43.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
60331
479.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
111156
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
29136
37.5 IPS |
|
|
Style Transfer (HP)
|
99% |
169246
217.6 IPS |
|
|
Style Transfer (Q)
|
98% |
301642
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4230
156.2 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22474
847.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38635
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
625
834.6 IPS |
|
|
Text Classification (HP)
|
100% |
7316
9.77 KIPS |
|
|
Text Classification (Q)
|
93% |
8690
11.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6863
118.2 IPS |
|
|
Machine Translation (Q)
|
61% |
7724
169.9 IPS |
