samsung SM-X930
Geekbench AI Score
2087
Single Precision Score
2096
Half Precision Score
3008
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:33 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% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
1538
286.1 IPS |
|
|
Image Classification (Q)
|
100% |
2195
408.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2422
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2850
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2846
3.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
6232
7.39 IPS |
|
|
Object Detection (SP)
|
98% |
1370
109.0 IPS |
|
|
Object Detection (HP)
|
98% |
1434
114.1 IPS |
|
|
Object Detection (Q)
|
83% |
2020
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4784
57.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3234
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3041
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5486
50.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7204
9.35 IPS |
|
|
Style Transfer (HP)
|
89% |
7245
9.41 IPS |
|
|
Style Transfer (Q)
|
98% |
12687
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1510
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3013
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
748
998.0 IPS |
|
|
Text Classification (Q)
|
88% |
1275
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (Q)
|
50% |
710
25.2 IPS |
