samsung SM-X930
Geekbench AI Score
2045
Single Precision Score
1975
Half Precision Score
2857
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:41 AM |
| Views | 7 |
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% |
1640
305.0 IPS |
|
|
Image Classification (HP)
|
100% |
1292
240.4 IPS |
|
|
Image Classification (Q)
|
100% |
1954
363.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2327
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2812
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2905
3.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
5880
6.97 IPS |
|
|
Object Detection (SP)
|
98% |
1424
113.4 IPS |
|
|
Object Detection (HP)
|
98% |
1283
102.1 IPS |
|
|
Object Detection (Q)
|
83% |
2056
166.1 IPS |
|
|
Face Detection (SP)
|
100% |
3177
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (Q)
|
95% |
4786
57.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3201
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3071
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4449
40.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6820
8.85 IPS |
|
|
Style Transfer (HP)
|
89% |
6725
8.73 IPS |
|
|
Style Transfer (Q)
|
98% |
12422
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1499
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3035
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
685
913.8 IPS |
|
|
Text Classification (HP)
|
99% |
720
961.3 IPS |
|
|
Text Classification (Q)
|
88% |
1154
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1615
27.8 IPS |
|
|
Machine Translation (Q)
|
50% |
712
25.3 IPS |
