samsung SM-X930
Geekbench AI Score
2073
Single Precision Score
2041
Half Precision Score
2905
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:14 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% |
1566
291.2 IPS |
|
|
Image Classification (HP)
|
100% |
1283
238.7 IPS |
|
|
Image Classification (Q)
|
100% |
2064
383.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2525
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2912
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
5741
6.81 IPS |
|
|
Object Detection (SP)
|
98% |
1265
100.6 IPS |
|
|
Object Detection (HP)
|
98% |
1379
109.8 IPS |
|
|
Object Detection (Q)
|
83% |
2054
165.9 IPS |
|
|
Face Detection (SP)
|
100% |
3330
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (Q)
|
95% |
4154
49.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3330
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3266
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4509
41.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7742
10.0 IPS |
|
|
Style Transfer (HP)
|
89% |
6900
8.96 IPS |
|
|
Style Transfer (Q)
|
98% |
12796
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2967
109.9 IPS |
|
|
Text Classification (SP)
|
100% |
680
908.2 IPS |
|
|
Text Classification (HP)
|
99% |
677
903.6 IPS |
|
|
Text Classification (Q)
|
88% |
1262
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (Q)
|
50% |
777
27.6 IPS |
