samsung SM-X730
Geekbench AI Score
1175
Single Precision Score
9593
Half Precision Score
13066
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | bkr899 |
| Upload Date | November 08 2025 04:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1200
223.1 IPS |
|
|
Image Classification (HP)
|
100% |
5142
956.2 IPS |
|
|
Image Classification (Q)
|
99% |
13459
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4966
80.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2126
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10149
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21798
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88296
103.5 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (HP)
|
100% |
5622
445.9 IPS |
|
|
Object Detection (Q)
|
86% |
6888
554.0 IPS |
|
|
Face Detection (SP)
|
100% |
3690
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
14764
175.4 IPS |
|
|
Face Detection (Q)
|
97% |
15765
188.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
753
5.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
22750
175.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
38809
368.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2900
3.73 IPS |
|
|
Style Transfer (HP)
|
100% |
68254
87.7 IPS |
|
|
Style Transfer (Q)
|
98% |
236166
304.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2900
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12742
470.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39319
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
115
154.1 IPS |
|
|
Text Classification (HP)
|
100% |
2911
3.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2843
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (Q)
|
60% |
516
11.6 IPS |
