samsung SM-X930
Geekbench AI Score
2033
Single Precision Score
1955
Half Precision Score
2903
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:44 AM |
| Views | 5 |
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% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (Q)
|
100% |
2114
393.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2335
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2855
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2715
3.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
5629
6.68 IPS |
|
|
Object Detection (SP)
|
98% |
1271
101.2 IPS |
|
|
Object Detection (HP)
|
98% |
1237
98.5 IPS |
|
|
Object Detection (Q)
|
83% |
1942
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
2847
33.8 IPS |
|
|
Face Detection (Q)
|
95% |
4624
55.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3637
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3268
25.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5054
46.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6667
8.65 IPS |
|
|
Style Transfer (HP)
|
89% |
7573
9.83 IPS |
|
|
Style Transfer (Q)
|
98% |
12716
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1490
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3130
116.0 IPS |
|
|
Text Classification (SP)
|
100% |
660
881.1 IPS |
|
|
Text Classification (HP)
|
99% |
686
915.8 IPS |
|
|
Text Classification (Q)
|
88% |
1178
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
720
25.5 IPS |
