samsung SM-X730
Geekbench AI Score
2001
Single Precision Score
1906
Half Precision Score
2737
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 03:28 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% |
1619
301.0 IPS |
|
|
Image Classification (HP)
|
100% |
1612
299.7 IPS |
|
|
Image Classification (Q)
|
100% |
2546
473.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2798
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3274
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2789
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
5498
6.52 IPS |
|
|
Object Detection (SP)
|
98% |
1196
95.2 IPS |
|
|
Object Detection (HP)
|
98% |
1214
96.6 IPS |
|
|
Object Detection (Q)
|
83% |
1841
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (Q)
|
95% |
4418
52.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3133
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3041
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4193
38.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6757
8.77 IPS |
|
|
Style Transfer (HP)
|
89% |
6205
8.06 IPS |
|
|
Style Transfer (Q)
|
98% |
11016
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1377
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2839
105.2 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.9 IPS |
|
|
Text Classification (HP)
|
99% |
617
823.2 IPS |
|
|
Text Classification (Q)
|
88% |
1025
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1586
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
552
19.6 IPS |
