samsung SM-X930
Geekbench AI Score
1170
Single Precision Score
9345
Half Precision Score
12658
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | mohanadsinan |
| Upload Date | October 09 2025 10:21 PM |
| Views | 7 |
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% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
5068
942.5 IPS |
|
|
Image Classification (Q)
|
99% |
13327
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4721
76.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2113
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10591
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21723
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
87202
102.2 IPS |
|
|
Object Detection (SP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (HP)
|
100% |
5443
431.7 IPS |
|
|
Object Detection (Q)
|
86% |
6563
527.9 IPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
14378
170.8 IPS |
|
|
Face Detection (Q)
|
97% |
15505
184.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
744
5.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
22472
173.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
37787
358.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2872
3.69 IPS |
|
|
Style Transfer (HP)
|
100% |
67740
87.1 IPS |
|
|
Style Transfer (Q)
|
98% |
231657
298.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2876
106.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12493
461.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37219
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
112
149.6 IPS |
|
|
Text Classification (HP)
|
100% |
2730
3.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2681
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
2407
41.5 IPS |
|
|
Machine Translation (Q)
|
60% |
484
10.9 IPS |
