samsung SM-X930
Geekbench AI Score
2250
Single Precision Score
2175
Half Precision Score
3226
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:08 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% |
1632
303.5 IPS |
|
|
Image Classification (HP)
|
100% |
1587
295.0 IPS |
|
|
Image Classification (Q)
|
100% |
2558
475.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2785
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3380
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3191
3.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
6407
7.60 IPS |
|
|
Object Detection (SP)
|
98% |
1522
121.2 IPS |
|
|
Object Detection (HP)
|
98% |
1339
106.5 IPS |
|
|
Object Detection (Q)
|
83% |
2171
175.4 IPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
4956
59.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3315
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3556
27.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4909
45.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7991
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
7618
9.89 IPS |
|
|
Style Transfer (Q)
|
98% |
14394
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1653
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3230
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
707
943.0 IPS |
|
|
Text Classification (HP)
|
99% |
751
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1314
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (Q)
|
50% |
830
29.5 IPS |
