samsung SM-X730
Geekbench AI Score
1144
Single Precision Score
9419
Half Precision Score
12782
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 05:04 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% |
1150
213.8 IPS |
|
|
Image Classification (HP)
|
100% |
5044
938.0 IPS |
|
|
Image Classification (Q)
|
99% |
13300
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4781
77.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2112
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10243
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21734
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
87946
103.1 IPS |
|
|
Object Detection (SP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (HP)
|
100% |
5471
433.9 IPS |
|
|
Object Detection (Q)
|
86% |
6657
535.5 IPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
14542
172.8 IPS |
|
|
Face Detection (Q)
|
97% |
15600
186.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
730
5.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
22612
174.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
38442
365.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2903
3.73 IPS |
|
|
Style Transfer (HP)
|
100% |
68033
87.5 IPS |
|
|
Style Transfer (Q)
|
98% |
233246
300.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2882
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12588
464.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37798
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
108
144.2 IPS |
|
|
Text Classification (HP)
|
100% |
2837
3.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2733
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (HP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (Q)
|
60% |
490
11.0 IPS |
