samsung SM-X930
Geekbench AI Score
1981
Single Precision Score
1984
Half Precision Score
2963
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:28 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X930 |
| Model ID | samsung SM-X930 |
| Motherboard | gts11uwifi |
| 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 | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
1270
236.2 IPS |
|
|
Image Classification (Q)
|
100% |
2171
403.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1681
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2260
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2886
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2926
3.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
6189
7.34 IPS |
|
|
Object Detection (SP)
|
98% |
1368
108.9 IPS |
|
|
Object Detection (HP)
|
98% |
1362
108.3 IPS |
|
|
Object Detection (Q)
|
83% |
2188
176.8 IPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
4571
54.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3121
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3327
25.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4803
44.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6494
8.43 IPS |
|
|
Style Transfer (HP)
|
89% |
6697
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
13292
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3343
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
602
804.2 IPS |
|
|
Text Classification (HP)
|
99% |
668
892.1 IPS |
|
|
Text Classification (Q)
|
88% |
1122
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
718
25.5 IPS |
