samsung SM-X930
Geekbench AI Score
2110
Single Precision Score
2026
Half Precision Score
2934
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:11 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% |
1619
301.1 IPS |
|
|
Image Classification (HP)
|
100% |
1282
238.5 IPS |
|
|
Image Classification (Q)
|
100% |
2260
420.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2429
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2836
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2920
3.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
6060
7.19 IPS |
|
|
Object Detection (SP)
|
98% |
1333
106.1 IPS |
|
|
Object Detection (HP)
|
98% |
1356
107.9 IPS |
|
|
Object Detection (Q)
|
83% |
1824
147.3 IPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (Q)
|
95% |
4280
51.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3333
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3552
27.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4881
44.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6806
8.84 IPS |
|
|
Style Transfer (HP)
|
89% |
6739
8.75 IPS |
|
|
Style Transfer (Q)
|
98% |
12872
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3283
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
713
952.2 IPS |
|
|
Text Classification (HP)
|
99% |
675
900.9 IPS |
|
|
Text Classification (Q)
|
88% |
1259
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1755
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1634
28.2 IPS |
|
|
Machine Translation (Q)
|
50% |
702
24.9 IPS |
