samsung SM-X730
Geekbench AI Score
1183
Single Precision Score
9633
Half Precision Score
13034
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:25 PM |
| Views | 1 |
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% |
1166
216.8 IPS |
|
|
Image Classification (HP)
|
100% |
5222
971.2 IPS |
|
|
Image Classification (Q)
|
99% |
13253
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4934
80.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2123
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10140
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21781
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88248
103.4 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (HP)
|
100% |
5632
446.7 IPS |
|
|
Object Detection (Q)
|
86% |
6947
558.8 IPS |
|
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
14694
174.6 IPS |
|
|
Face Detection (Q)
|
97% |
15836
188.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
766
5.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
22737
175.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
38879
369.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3113
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
68210
87.7 IPS |
|
|
Style Transfer (Q)
|
98% |
236285
304.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2897
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12856
474.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39132
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
115
154.1 IPS |
|
|
Text Classification (HP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2794
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
277
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (Q)
|
60% |
516
11.6 IPS |
