samsung SM-X930
Geekbench AI Score
2042
Single Precision Score
1956
Half Precision Score
2856
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:05 AM |
| Views | 7 |
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% |
1616
300.5 IPS |
|
|
Image Classification (HP)
|
100% |
1275
237.1 IPS |
|
|
Image Classification (Q)
|
100% |
2234
415.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2246
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3006
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2688
3.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
5616
6.66 IPS |
|
|
Object Detection (SP)
|
98% |
1307
104.0 IPS |
|
|
Object Detection (HP)
|
98% |
1251
99.6 IPS |
|
|
Object Detection (Q)
|
83% |
1992
160.9 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
2999
35.6 IPS |
|
|
Face Detection (Q)
|
95% |
4636
55.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3118
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3209
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4679
42.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7265
9.43 IPS |
|
|
Style Transfer (HP)
|
89% |
7014
9.10 IPS |
|
|
Style Transfer (Q)
|
98% |
13317
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1418
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3088
114.4 IPS |
|
|
Text Classification (SP)
|
100% |
657
876.8 IPS |
|
|
Text Classification (HP)
|
99% |
682
909.9 IPS |
|
|
Text Classification (Q)
|
88% |
1048
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1701
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (Q)
|
50% |
689
24.5 IPS |
