samsung SM-X730
Geekbench AI Score
1388
Single Precision Score
1781
Half Precision Score
1489
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | bkr899 |
| Upload Date | November 08 2025 04:34 PM |
| Views | 2 |
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% |
730
135.7 IPS |
|
|
Image Classification (HP)
|
100% |
779
144.9 IPS |
|
|
Image Classification (Q)
|
97% |
718
133.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2968
48.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2674
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9281
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15953
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15262
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (HP)
|
99% |
804
63.8 IPS |
|
|
Object Detection (Q)
|
83% |
761
61.5 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
4102
48.7 IPS |
|
|
Face Detection (Q)
|
96% |
3803
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4195
32.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5555
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4488
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13711
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25625
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25516
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2323
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2240
83.0 IPS |
|
|
Text Classification (SP)
|
35% |
23
212.2 IPS |
|
|
Text Classification (HP)
|
29% |
14
247.2 IPS |
|
|
Text Classification (Q)
|
32% |
19
247.4 IPS |
|
|
Machine Translation (SP)
|
100% |
457
7.88 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (Q)
|
43% |
130
7.57 IPS |
