samsung SM-X930
Geekbench AI Score
1963
Single Precision Score
1947
Half Precision Score
2834
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (Q)
|
100% |
2201
409.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1792
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2540
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2752
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2722
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
5416
6.42 IPS |
|
|
Object Detection (SP)
|
98% |
1241
98.8 IPS |
|
|
Object Detection (HP)
|
98% |
1193
95.0 IPS |
|
|
Object Detection (Q)
|
83% |
1974
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
3931
46.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2898
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3015
23.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4890
44.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6629
8.60 IPS |
|
|
Style Transfer (HP)
|
89% |
6403
8.31 IPS |
|
|
Style Transfer (Q)
|
98% |
12329
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1507
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3075
113.9 IPS |
|
|
Text Classification (SP)
|
100% |
692
923.0 IPS |
|
|
Text Classification (HP)
|
99% |
703
938.8 IPS |
|
|
Text Classification (Q)
|
88% |
1291
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (Q)
|
50% |
596
21.2 IPS |
