samsung SM-X730
Geekbench AI Score
1345
Single Precision Score
1815
Half Precision Score
1530
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | bkr899 |
| Upload Date | November 08 2025 04:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
552
102.6 IPS |
|
|
Image Classification (HP)
|
100% |
793
147.5 IPS |
|
|
Image Classification (Q)
|
97% |
686
127.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2747
44.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2819
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9105
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16127
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15727
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (HP)
|
99% |
781
62.0 IPS |
|
|
Object Detection (Q)
|
83% |
778
62.8 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
4834
57.4 IPS |
|
|
Face Detection (Q)
|
96% |
4421
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3813
29.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5792
44.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4409
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13723
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26011
33.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25590
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2327
86.3 IPS |
|
|
Text Classification (SP)
|
35% |
23
206.5 IPS |
|
|
Text Classification (HP)
|
29% |
15
251.3 IPS |
|
|
Text Classification (Q)
|
32% |
19
242.4 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.10 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
43% |
135
7.87 IPS |
