samsung SM-X730
Geekbench AI Score
1382
Single Precision Score
1815
Half Precision Score
1521
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 02:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
619
115.1 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.6 IPS |
|
|
Image Classification (Q)
|
97% |
738
137.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2786
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9969
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16316
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15888
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
771
61.2 IPS |
|
|
Object Detection (Q)
|
83% |
769
62.1 IPS |
|
|
Face Detection (SP)
|
100% |
3160
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (Q)
|
96% |
3830
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4397
33.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5775
44.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4358
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14126
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25725
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25483
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1788
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2363
87.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2308
85.5 IPS |
|
|
Text Classification (SP)
|
35% |
23
205.6 IPS |
|
|
Text Classification (HP)
|
29% |
15
255.0 IPS |
|
|
Text Classification (Q)
|
32% |
20
251.7 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.85 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (Q)
|
43% |
135
7.82 IPS |
