samsung SM-X930
Geekbench AI Score
1986
Single Precision Score
1988
Half Precision Score
2897
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:59 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% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (Q)
|
100% |
2213
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2339
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2954
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2947
3.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
5584
6.62 IPS |
|
|
Object Detection (SP)
|
98% |
1316
104.7 IPS |
|
|
Object Detection (HP)
|
98% |
1251
99.6 IPS |
|
|
Object Detection (Q)
|
83% |
1996
161.2 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (Q)
|
95% |
4780
57.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3307
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3043
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4817
44.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6718
8.72 IPS |
|
|
Style Transfer (HP)
|
89% |
6818
8.85 IPS |
|
|
Style Transfer (Q)
|
98% |
12500
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3292
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
596
796.0 IPS |
|
|
Text Classification (HP)
|
99% |
666
889.1 IPS |
|
|
Text Classification (Q)
|
88% |
1155
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (Q)
|
50% |
660
23.4 IPS |
