samsung SM-X930
Geekbench AI Score
2009
Single Precision Score
1928
Half Precision Score
2839
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:53 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% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
1230
228.7 IPS |
|
|
Image Classification (Q)
|
100% |
2162
402.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2277
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2664
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2619
3.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
5504
6.53 IPS |
|
|
Object Detection (SP)
|
98% |
1328
105.7 IPS |
|
|
Object Detection (HP)
|
98% |
1218
96.9 IPS |
|
|
Object Detection (Q)
|
83% |
1897
153.2 IPS |
|
|
Face Detection (SP)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
4302
51.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3208
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3288
25.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4670
42.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6783
8.81 IPS |
|
|
Style Transfer (HP)
|
89% |
6700
8.70 IPS |
|
|
Style Transfer (Q)
|
98% |
12909
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3073
113.9 IPS |
|
|
Text Classification (SP)
|
100% |
679
905.9 IPS |
|
|
Text Classification (HP)
|
99% |
653
871.9 IPS |
|
|
Text Classification (Q)
|
88% |
1137
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (Q)
|
50% |
731
25.9 IPS |
