samsung SM-X930
Geekbench AI Score
2199
Single Precision Score
2110
Half Precision Score
3242
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Billfumo |
| Upload Date | September 08 2025 09:03 PM |
| Views | 8 |
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% |
1589
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (Q)
|
100% |
2493
463.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2768
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3114
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2892
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6348
7.53 IPS |
|
|
Object Detection (SP)
|
98% |
1366
108.7 IPS |
|
|
Object Detection (HP)
|
98% |
1242
98.8 IPS |
|
|
Object Detection (Q)
|
83% |
2130
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (Q)
|
95% |
5162
61.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3633
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3395
26.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5528
50.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7681
9.97 IPS |
|
|
Style Transfer (HP)
|
89% |
7032
9.13 IPS |
|
|
Style Transfer (Q)
|
98% |
14708
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3621
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
746
995.8 IPS |
|
|
Text Classification (Q)
|
88% |
1204
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1672
28.8 IPS |
|
|
Machine Translation (Q)
|
50% |
752
26.7 IPS |
