samsung SM-X930
Geekbench AI Score
2042
Single Precision Score
1966
Half Precision Score
2937
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:17 AM |
| Views | 2 |
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% |
1568
291.7 IPS |
|
|
Image Classification (HP)
|
100% |
1257
233.7 IPS |
|
|
Image Classification (Q)
|
100% |
2187
406.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2351
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2768
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2685
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5762
6.83 IPS |
|
|
Object Detection (SP)
|
98% |
1289
102.6 IPS |
|
|
Object Detection (HP)
|
98% |
1315
104.6 IPS |
|
|
Object Detection (Q)
|
83% |
2004
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (Q)
|
95% |
5283
63.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3404
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3229
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5049
46.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6991
9.08 IPS |
|
|
Style Transfer (HP)
|
89% |
6698
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
12425
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3060
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
720
960.6 IPS |
|
|
Text Classification (HP)
|
99% |
685
913.6 IPS |
|
|
Text Classification (Q)
|
88% |
1193
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (Q)
|
50% |
666
23.7 IPS |
