samsung SM-S731U
Geekbench AI Score
3606
Single Precision Score
24936
Half Precision Score
46512
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 05:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S731U |
| Model ID | samsung SM-S731U |
| 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% |
1642
305.4 IPS |
|
|
Image Classification (HP)
|
100% |
17166
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
32796
6.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3096
50.2 IPS |
|
|
Image Segmentation (HP)
|
97% |
12313
200.3 IPS |
|
|
Image Segmentation (Q)
|
96% |
28622
465.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14587
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
87764
102.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
302072
353.7 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
14068
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
20478
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
5177
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
37627
447.1 IPS |
|
|
Face Detection (Q)
|
97% |
98341
1.17 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5627
43.4 IPS |
|
|
Depth Estimation (HP)
|
79% |
57039
453.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
108057
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
29905
38.4 IPS |
|
|
Style Transfer (HP)
|
99% |
172687
222.0 IPS |
|
|
Style Transfer (Q)
|
98% |
276646
356.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22640
854.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59504
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
680
907.1 IPS |
|
|
Text Classification (HP)
|
100% |
6904
9.21 KIPS |
|
|
Text Classification (Q)
|
93% |
8453
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6150
105.9 IPS |
|
|
Machine Translation (Q)
|
56% |
5520
141.6 IPS |
