samsung SM-X930
Geekbench AI Score
2152
Single Precision Score
2112
Half Precision Score
3036
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:21 AM |
| Views | 9 |
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% |
1649
306.7 IPS |
|
|
Image Classification (HP)
|
100% |
1637
304.4 IPS |
|
|
Image Classification (Q)
|
100% |
2583
480.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2705
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2871
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2830
3.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
5990
7.10 IPS |
|
|
Object Detection (SP)
|
98% |
1320
105.1 IPS |
|
|
Object Detection (HP)
|
98% |
1378
109.6 IPS |
|
|
Object Detection (Q)
|
83% |
1885
152.3 IPS |
|
|
Face Detection (SP)
|
100% |
3415
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (Q)
|
95% |
4507
53.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3390
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3540
27.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4777
43.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7381
9.58 IPS |
|
|
Style Transfer (HP)
|
89% |
7048
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
13132
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3328
123.3 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.2 IPS |
|
|
Text Classification (HP)
|
99% |
693
924.6 IPS |
|
|
Text Classification (Q)
|
88% |
1217
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1696
29.2 IPS |
|
|
Machine Translation (Q)
|
50% |
737
26.2 IPS |
