samsung SM-X730
Geekbench AI Score
2156
Single Precision Score
2115
Half Precision Score
3122
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 02:31 PM |
| Views | 1 |
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% |
1625
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
1548
287.9 IPS |
|
|
Image Classification (Q)
|
100% |
2507
466.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2755
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3460
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3298
3.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
6144
7.29 IPS |
|
|
Object Detection (SP)
|
98% |
1381
109.9 IPS |
|
|
Object Detection (HP)
|
98% |
1396
111.1 IPS |
|
|
Object Detection (Q)
|
83% |
1992
160.9 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (Q)
|
95% |
5244
62.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3511
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3425
26.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4883
44.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7331
9.52 IPS |
|
|
Style Transfer (HP)
|
89% |
6738
8.75 IPS |
|
|
Style Transfer (Q)
|
98% |
13104
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3363
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
681
909.1 IPS |
|
|
Text Classification (HP)
|
99% |
744
992.6 IPS |
|
|
Text Classification (Q)
|
88% |
1313
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
704
25.0 IPS |
