samsung SM-X930
Geekbench AI Score
1989
Single Precision Score
1868
Half Precision Score
2796
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:58 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% |
1605
298.5 IPS |
|
|
Image Classification (HP)
|
100% |
1328
246.9 IPS |
|
|
Image Classification (Q)
|
100% |
2114
393.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2185
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2768
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2646
3.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
5711
6.77 IPS |
|
|
Object Detection (SP)
|
98% |
1237
98.4 IPS |
|
|
Object Detection (HP)
|
98% |
1206
96.0 IPS |
|
|
Object Detection (Q)
|
83% |
1944
157.0 IPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (Q)
|
95% |
4499
53.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3187
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2904
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4504
41.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6854
8.90 IPS |
|
|
Style Transfer (HP)
|
89% |
6946
9.02 IPS |
|
|
Style Transfer (Q)
|
98% |
12288
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1439
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3052
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
705
941.0 IPS |
|
|
Text Classification (HP)
|
99% |
691
922.3 IPS |
|
|
Text Classification (Q)
|
88% |
1170
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1615
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
642
22.8 IPS |
