samsung SM-X730
Geekbench AI Score
1809
Single Precision Score
1761
Half Precision Score
2517
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 11:48 AM |
| Views | 3 |
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% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
1591
295.8 IPS |
|
|
Image Classification (Q)
|
100% |
2429
451.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2400
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2859
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2523
2.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
4725
5.60 IPS |
|
|
Object Detection (SP)
|
98% |
1120
89.2 IPS |
|
|
Object Detection (HP)
|
98% |
1113
88.6 IPS |
|
|
Object Detection (Q)
|
83% |
1574
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (Q)
|
95% |
3790
45.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2816
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2930
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3940
36.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5864
7.61 IPS |
|
|
Style Transfer (HP)
|
89% |
5852
7.60 IPS |
|
|
Style Transfer (Q)
|
98% |
10369
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2575
95.4 IPS |
|
|
Text Classification (SP)
|
100% |
545
727.8 IPS |
|
|
Text Classification (HP)
|
99% |
522
697.3 IPS |
|
|
Text Classification (Q)
|
88% |
1067
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
555
19.7 IPS |
