samsung SM-X930
Geekbench AI Score
2031
Single Precision Score
1883
Half Precision Score
2822
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:55 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% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
1213
225.7 IPS |
|
|
Image Classification (Q)
|
100% |
2150
399.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1718
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2309
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2763
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2687
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5468
6.49 IPS |
|
|
Object Detection (SP)
|
98% |
1294
103.0 IPS |
|
|
Object Detection (HP)
|
98% |
1357
108.0 IPS |
|
|
Object Detection (Q)
|
83% |
1810
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (Q)
|
95% |
4583
54.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3219
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2959
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4533
41.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6527
8.47 IPS |
|
|
Style Transfer (HP)
|
89% |
6203
8.05 IPS |
|
|
Style Transfer (Q)
|
98% |
12889
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2959
109.6 IPS |
|
|
Text Classification (SP)
|
100% |
701
936.2 IPS |
|
|
Text Classification (HP)
|
99% |
646
862.7 IPS |
|
|
Text Classification (Q)
|
88% |
1160
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
711
25.2 IPS |
