samsung SM-X930
Geekbench AI Score
1223
Single Precision Score
9589
Half Precision Score
13088
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 09:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1177
219.0 IPS |
|
|
Image Classification (HP)
|
100% |
5256
977.5 IPS |
|
|
Image Classification (Q)
|
99% |
13500
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4927
79.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2129
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11521
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21774
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88441
103.7 IPS |
|
|
Object Detection (SP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (HP)
|
100% |
5631
446.6 IPS |
|
|
Object Detection (Q)
|
86% |
6990
562.2 IPS |
|
|
Face Detection (SP)
|
100% |
3825
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
14806
175.9 IPS |
|
|
Face Detection (Q)
|
97% |
15832
188.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
767
5.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
22780
175.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
39275
373.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3183
4.09 IPS |
|
|
Style Transfer (HP)
|
100% |
68381
87.9 IPS |
|
|
Style Transfer (Q)
|
98% |
236816
305.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3128
115.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12804
472.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38812
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
117
156.0 IPS |
|
|
Text Classification (HP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2837
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (HP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (Q)
|
60% |
512
11.5 IPS |
