samsung SM-X930
Geekbench AI Score
2255
Single Precision Score
2140
Half Precision Score
3166
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 03:10 PM |
| Views | 1 |
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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1624
302.0 IPS |
|
|
Image Classification (HP)
|
100% |
1594
296.4 IPS |
|
|
Image Classification (Q)
|
100% |
2538
472.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2628
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3240
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2816
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
5912
7.01 IPS |
|
|
Object Detection (SP)
|
98% |
1385
110.2 IPS |
|
|
Object Detection (HP)
|
98% |
1271
101.1 IPS |
|
|
Object Detection (Q)
|
83% |
2164
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
4751
56.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3725
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3664
28.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5456
50.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7937
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7051
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
13927
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1805
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3077
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1359
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1724
29.7 IPS |
|
|
Machine Translation (Q)
|
50% |
787
28.0 IPS |
