samsung SM-X930
Geekbench AI Score
1455
Single Precision Score
1987
Half Precision Score
1615
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 10:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
744
138.4 IPS |
|
|
Image Classification (HP)
|
100% |
878
163.3 IPS |
|
|
Image Classification (Q)
|
97% |
777
145.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3092
50.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2864
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9686
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16932
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16919
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (HP)
|
99% |
955
75.8 IPS |
|
|
Object Detection (Q)
|
83% |
891
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
3391
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
4593
54.6 IPS |
|
|
Face Detection (Q)
|
96% |
3915
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4631
35.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6165
47.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4617
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14260
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26602
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26595
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3001
110.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2623
97.2 IPS |
|
|
Text Classification (SP)
|
35% |
26
234.3 IPS |
|
|
Text Classification (HP)
|
29% |
16
277.5 IPS |
|
|
Text Classification (Q)
|
32% |
21
274.9 IPS |
|
|
Machine Translation (SP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
43% |
136
7.92 IPS |
