samsung SM-X930
Geekbench AI Score
1998
Single Precision Score
1976
Half Precision Score
2895
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:38 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% |
1639
304.8 IPS |
|
|
Image Classification (HP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (Q)
|
100% |
1951
362.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2198
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2845
3.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
6544
7.76 IPS |
|
|
Object Detection (SP)
|
98% |
1403
111.7 IPS |
|
|
Object Detection (HP)
|
98% |
1279
101.7 IPS |
|
|
Object Detection (Q)
|
83% |
2035
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (Q)
|
95% |
4513
53.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3244
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2963
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4914
45.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6408
8.32 IPS |
|
|
Style Transfer (HP)
|
89% |
7210
9.36 IPS |
|
|
Style Transfer (Q)
|
98% |
12086
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2935
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
626
835.7 IPS |
|
|
Text Classification (HP)
|
99% |
640
854.1 IPS |
|
|
Text Classification (Q)
|
88% |
1138
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (Q)
|
50% |
810
28.8 IPS |
