samsung SM-X730
Geekbench AI Score
2050
Single Precision Score
1961
Half Precision Score
2842
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | bkr899 |
| Upload Date | November 08 2025 04:22 PM |
| Views | 5 |
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% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
1595
296.6 IPS |
|
|
Image Classification (Q)
|
100% |
2610
485.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2002
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1875
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2578
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2957
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2785
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
5353
6.35 IPS |
|
|
Object Detection (SP)
|
98% |
1254
99.8 IPS |
|
|
Object Detection (HP)
|
98% |
1283
102.1 IPS |
|
|
Object Detection (Q)
|
83% |
1841
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (Q)
|
95% |
4487
53.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3246
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2952
22.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4479
41.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6933
9.00 IPS |
|
|
Style Transfer (HP)
|
89% |
6852
8.89 IPS |
|
|
Style Transfer (Q)
|
98% |
12348
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1515
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2984
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.6 IPS |
|
|
Text Classification (HP)
|
99% |
663
885.6 IPS |
|
|
Text Classification (Q)
|
88% |
1140
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
615
21.8 IPS |
