samsung SM-X930
Geekbench AI Score
1401
Single Precision Score
1849
Half Precision Score
1536
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 05:54 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% |
599
111.4 IPS |
|
|
Image Classification (HP)
|
100% |
789
146.8 IPS |
|
|
Image Classification (Q)
|
97% |
708
132.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2808
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9488
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16869
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16349
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (HP)
|
99% |
876
69.5 IPS |
|
|
Object Detection (Q)
|
83% |
800
64.6 IPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
4450
52.9 IPS |
|
|
Face Detection (Q)
|
96% |
4094
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3804
29.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5545
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4454
42.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13927
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25981
33.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25675
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1842
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2358
87.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2388
88.5 IPS |
|
|
Text Classification (SP)
|
35% |
24
214.7 IPS |
|
|
Text Classification (HP)
|
29% |
15
260.9 IPS |
|
|
Text Classification (Q)
|
32% |
19
246.3 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
43% |
133
7.71 IPS |
