samsung SM-X930
Geekbench AI Score
1984
Single Precision Score
1927
Half Precision Score
2796
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:20 AM |
| Views | 2 |
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% |
1610
299.4 IPS |
|
|
Image Classification (HP)
|
100% |
1306
242.8 IPS |
|
|
Image Classification (Q)
|
100% |
2099
390.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2432
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2815
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2706
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
5827
6.91 IPS |
|
|
Object Detection (SP)
|
98% |
1278
101.7 IPS |
|
|
Object Detection (HP)
|
98% |
1419
112.9 IPS |
|
|
Object Detection (Q)
|
83% |
1722
139.1 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (Q)
|
95% |
4188
50.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3260
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3102
24.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4936
45.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6583
8.55 IPS |
|
|
Style Transfer (HP)
|
89% |
6422
8.34 IPS |
|
|
Style Transfer (Q)
|
98% |
12229
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1496
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1426
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2934
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
643
858.0 IPS |
|
|
Text Classification (HP)
|
99% |
659
879.2 IPS |
|
|
Text Classification (Q)
|
88% |
1170
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
657
23.3 IPS |
