samsung SM-X930
Geekbench AI Score
2005
Single Precision Score
1944
Half Precision Score
2830
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:36 AM |
| Views | 6 |
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% |
1572
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.3 IPS |
|
|
Image Classification (Q)
|
100% |
2076
386.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2197
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2760
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2740
3.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
5981
7.09 IPS |
|
|
Object Detection (SP)
|
98% |
1410
112.2 IPS |
|
|
Object Detection (HP)
|
98% |
1271
101.2 IPS |
|
|
Object Detection (Q)
|
83% |
1964
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2746
32.6 IPS |
|
|
Face Detection (Q)
|
95% |
4244
50.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2792
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3112
24.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5002
45.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8067
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
7102
9.22 IPS |
|
|
Style Transfer (Q)
|
98% |
12016
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2948
109.2 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.4 IPS |
|
|
Text Classification (HP)
|
99% |
682
909.9 IPS |
|
|
Text Classification (Q)
|
88% |
1186
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1684
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (Q)
|
50% |
692
24.6 IPS |
