samsung SM-X930
Geekbench AI Score
2054
Single Precision Score
1985
Half Precision Score
2922
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:24 AM |
| Views | 7 |
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% |
1581
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
1338
248.9 IPS |
|
|
Image Classification (Q)
|
100% |
2111
392.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2213
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2873
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
5647
6.70 IPS |
|
|
Object Detection (SP)
|
98% |
1278
101.7 IPS |
|
|
Object Detection (HP)
|
98% |
1377
109.6 IPS |
|
|
Object Detection (Q)
|
83% |
1952
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (Q)
|
95% |
4066
48.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3351
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3358
25.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5506
50.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6845
8.89 IPS |
|
|
Style Transfer (HP)
|
89% |
6471
8.40 IPS |
|
|
Style Transfer (Q)
|
98% |
12309
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1515
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1491
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3665
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.5 IPS |
|
|
Text Classification (HP)
|
99% |
677
904.1 IPS |
|
|
Text Classification (Q)
|
88% |
1267
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1607
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1675
28.9 IPS |
|
|
Machine Translation (Q)
|
50% |
689
24.5 IPS |
