samsung SM-X930
Geekbench AI Score
2107
Single Precision Score
2045
Half Precision Score
2942
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:15 AM |
| Views | 9 |
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% |
1612
299.7 IPS |
|
|
Image Classification (Q)
|
100% |
2058
382.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2403
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2866
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2837
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
6552
7.77 IPS |
|
|
Object Detection (SP)
|
98% |
1478
117.6 IPS |
|
|
Object Detection (HP)
|
98% |
1394
110.9 IPS |
|
|
Object Detection (Q)
|
83% |
2259
182.5 IPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (Q)
|
95% |
4651
55.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3034
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3185
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5100
46.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7302
9.48 IPS |
|
|
Style Transfer (HP)
|
89% |
6561
8.52 IPS |
|
|
Style Transfer (Q)
|
98% |
12209
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2829
104.8 IPS |
|
|
Text Classification (SP)
|
100% |
746
995.3 IPS |
|
|
Text Classification (HP)
|
99% |
677
903.0 IPS |
|
|
Text Classification (Q)
|
88% |
1247
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (Q)
|
50% |
650
23.1 IPS |
