samsung SM-X930
Geekbench AI Score
1990
Single Precision Score
1926
Half Precision Score
2902
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:33 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% |
1606
298.8 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.7 IPS |
|
|
Image Classification (Q)
|
100% |
2299
427.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2359
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2821
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2682
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5595
6.64 IPS |
|
|
Object Detection (SP)
|
98% |
1226
97.5 IPS |
|
|
Object Detection (HP)
|
98% |
1369
109.0 IPS |
|
|
Object Detection (Q)
|
83% |
1833
148.1 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (Q)
|
95% |
4732
56.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2913
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3045
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4747
43.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6605
8.57 IPS |
|
|
Style Transfer (HP)
|
89% |
7091
9.20 IPS |
|
|
Style Transfer (Q)
|
98% |
13205
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1573
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2966
109.9 IPS |
|
|
Text Classification (SP)
|
100% |
680
908.3 IPS |
|
|
Text Classification (HP)
|
99% |
637
850.9 IPS |
|
|
Text Classification (Q)
|
88% |
1210
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1639
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1446
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
716
25.4 IPS |
