samsung SM-X930
Geekbench AI Score
1392
Single Precision Score
1834
Half Precision Score
1543
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 06:07 AM |
| Views | 4 |
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% |
615
114.4 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.4 IPS |
|
|
Image Classification (Q)
|
97% |
712
132.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2850
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10290
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16511
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16499
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
99% |
820
65.0 IPS |
|
|
Object Detection (Q)
|
83% |
782
63.2 IPS |
|
|
Face Detection (SP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (Q)
|
96% |
4135
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3891
30.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5588
43.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4576
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14050
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26308
33.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25932
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2345
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2261
83.8 IPS |
|
|
Text Classification (SP)
|
35% |
24
217.0 IPS |
|
|
Text Classification (HP)
|
29% |
15
260.9 IPS |
|
|
Text Classification (Q)
|
32% |
19
249.3 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
43% |
139
8.11 IPS |
