samsung SM-X930
Geekbench AI Score
2050
Single Precision Score
1957
Half Precision Score
2965
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:02 AM |
| Views | 3 |
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% |
1632
303.5 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.8 IPS |
|
|
Image Classification (Q)
|
100% |
2003
372.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2268
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2853
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2858
3.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
6554
7.77 IPS |
|
|
Object Detection (SP)
|
98% |
1470
117.0 IPS |
|
|
Object Detection (HP)
|
98% |
1368
108.8 IPS |
|
|
Object Detection (Q)
|
83% |
2249
181.7 IPS |
|
|
Face Detection (SP)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (Q)
|
95% |
4903
58.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3263
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2965
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5032
46.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7033
9.13 IPS |
|
|
Style Transfer (HP)
|
89% |
6838
8.88 IPS |
|
|
Style Transfer (Q)
|
98% |
12934
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3076
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
694
926.4 IPS |
|
|
Text Classification (HP)
|
99% |
667
889.9 IPS |
|
|
Text Classification (Q)
|
88% |
1161
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
690
24.5 IPS |
