samsung SM-X930
Geekbench AI Score
1412
Single Precision Score
1809
Half Precision Score
1534
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 07:04 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% |
600
111.6 IPS |
|
|
Image Classification (HP)
|
100% |
773
143.7 IPS |
|
|
Image Classification (Q)
|
97% |
691
129.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2763
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10197
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16451
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16466
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (HP)
|
99% |
854
67.7 IPS |
|
|
Object Detection (Q)
|
83% |
769
62.1 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
4433
52.7 IPS |
|
|
Face Detection (Q)
|
96% |
4055
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3687
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5701
44.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4431
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14105
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25693
33.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26371
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2260
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2404
89.1 IPS |
|
|
Text Classification (SP)
|
35% |
24
219.8 IPS |
|
|
Text Classification (HP)
|
29% |
15
259.9 IPS |
|
|
Text Classification (Q)
|
32% |
19
249.2 IPS |
|
|
Machine Translation (SP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
43% |
138
8.00 IPS |
