samsung SM-X730
Geekbench AI Score
1839
Single Precision Score
1790
Half Precision Score
2560
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 12:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X730 |
| Model ID | samsung SM-X730 |
| Motherboard | gts11wifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
1275
237.2 IPS |
|
|
Image Classification (Q)
|
100% |
1869
347.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2107
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2727
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2463
2.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
5189
6.15 IPS |
|
|
Object Detection (SP)
|
98% |
1124
89.5 IPS |
|
|
Object Detection (HP)
|
98% |
1207
96.0 IPS |
|
|
Object Detection (Q)
|
83% |
1744
140.9 IPS |
|
|
Face Detection (SP)
|
100% |
2752
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (Q)
|
95% |
4170
49.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2962
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2790
21.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4273
39.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6382
8.28 IPS |
|
|
Style Transfer (HP)
|
89% |
6253
8.12 IPS |
|
|
Style Transfer (Q)
|
98% |
11453
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2809
104.1 IPS |
|
|
Text Classification (SP)
|
100% |
619
826.5 IPS |
|
|
Text Classification (HP)
|
99% |
581
776.0 IPS |
|
|
Text Classification (Q)
|
88% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1467
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
536
19.0 IPS |
