samsung SM-X930
Geekbench AI Score
2124
Single Precision Score
2126
Half Precision Score
3026
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:31 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% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
1613
300.0 IPS |
|
|
Image Classification (Q)
|
100% |
2595
482.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2546
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3016
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2848
3.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
5843
6.93 IPS |
|
|
Object Detection (SP)
|
98% |
1264
100.6 IPS |
|
|
Object Detection (HP)
|
98% |
1413
112.5 IPS |
|
|
Object Detection (Q)
|
83% |
1855
149.8 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (Q)
|
95% |
4328
51.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3297
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3551
27.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4683
42.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7890
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
6955
9.03 IPS |
|
|
Style Transfer (Q)
|
98% |
14171
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3028
112.2 IPS |
|
|
Text Classification (SP)
|
100% |
700
933.9 IPS |
|
|
Text Classification (HP)
|
99% |
677
903.2 IPS |
|
|
Text Classification (Q)
|
88% |
1294
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1852
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (Q)
|
50% |
801
28.4 IPS |
