samsung SM-X730
Geekbench AI Score
2068
Single Precision Score
2031
Half Precision Score
2883
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Strat |
| Upload Date | March 07 2026 10:02 PM |
| Views | 7 |
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% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
1576
293.0 IPS |
|
|
Image Classification (Q)
|
100% |
2550
474.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2838
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3217
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2803
3.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
5701
6.76 IPS |
|
|
Object Detection (SP)
|
98% |
1299
103.4 IPS |
|
|
Object Detection (HP)
|
98% |
1263
100.5 IPS |
|
|
Object Detection (Q)
|
83% |
1830
147.8 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
2983
35.4 IPS |
|
|
Face Detection (Q)
|
95% |
4413
52.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3242
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3135
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4566
41.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6550
8.50 IPS |
|
|
Style Transfer (HP)
|
89% |
6990
9.07 IPS |
|
|
Style Transfer (Q)
|
98% |
12262
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1453
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2952
109.4 IPS |
|
|
Text Classification (SP)
|
100% |
711
949.6 IPS |
|
|
Text Classification (HP)
|
99% |
685
914.7 IPS |
|
|
Text Classification (Q)
|
88% |
1274
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (Q)
|
50% |
566
20.1 IPS |
