samsung SM-X730
Geekbench AI Score
2056
Single Precision Score
1973
Half Precision Score
2897
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Strat |
| Upload Date | November 04 2025 02:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1628
302.7 IPS |
|
|
Image Classification (HP)
|
100% |
1588
295.3 IPS |
|
|
Image Classification (Q)
|
100% |
2570
478.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2834
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3423
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2882
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
5849
6.94 IPS |
|
|
Object Detection (SP)
|
98% |
1229
97.8 IPS |
|
|
Object Detection (HP)
|
98% |
1239
98.6 IPS |
|
|
Object Detection (Q)
|
83% |
1777
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
4563
54.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3188
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2967
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4383
40.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6920
8.98 IPS |
|
|
Style Transfer (HP)
|
89% |
6636
8.61 IPS |
|
|
Style Transfer (Q)
|
98% |
11918
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2831
104.9 IPS |
|
|
Text Classification (SP)
|
100% |
655
874.8 IPS |
|
|
Text Classification (HP)
|
99% |
629
840.1 IPS |
|
|
Text Classification (Q)
|
88% |
1254
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
651
23.1 IPS |
