samsung SM-X930
Geekbench AI Score
1439
Single Precision Score
1875
Half Precision Score
1519
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 06:43 AM |
| Views | 2 |
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% |
762
141.8 IPS |
|
|
Image Classification (HP)
|
100% |
801
149.0 IPS |
|
|
Image Classification (Q)
|
97% |
706
131.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2761
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10216
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16561
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16328
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (HP)
|
99% |
917
72.7 IPS |
|
|
Object Detection (Q)
|
83% |
765
61.8 IPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (Q)
|
96% |
3915
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3814
29.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6222
48.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4593
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14092
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26571
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25430
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2462
90.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2331
86.4 IPS |
|
|
Text Classification (SP)
|
35% |
23
209.2 IPS |
|
|
Text Classification (HP)
|
29% |
15
253.2 IPS |
|
|
Text Classification (Q)
|
32% |
19
251.1 IPS |
|
|
Machine Translation (SP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (Q)
|
43% |
133
7.73 IPS |
