samsung SM-X930
Geekbench AI Score
1383
Single Precision Score
1781
Half Precision Score
1530
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 06:59 AM |
| Views | 6 |
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% |
602
112.0 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.4 IPS |
|
|
Image Classification (Q)
|
97% |
697
130.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2809
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10131
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16544
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16217
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
641
50.8 IPS |
|
|
Object Detection (HP)
|
99% |
810
64.3 IPS |
|
|
Object Detection (Q)
|
83% |
809
65.4 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
4265
50.7 IPS |
|
|
Face Detection (Q)
|
96% |
4110
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3706
28.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5619
43.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4567
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13852
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25730
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25712
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1780
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2329
86.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2250
83.4 IPS |
|
|
Text Classification (SP)
|
35% |
23
210.3 IPS |
|
|
Text Classification (HP)
|
29% |
14
248.7 IPS |
|
|
Text Classification (Q)
|
32% |
19
243.3 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (Q)
|
43% |
133
7.76 IPS |
