samsung SM-X930
Geekbench AI Score
1219
Single Precision Score
9689
Half Precision Score
13108
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 24 2025 01:39 AM |
| Views | 3 |
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% |
1204
223.9 IPS |
|
|
Image Classification (HP)
|
100% |
5355
995.9 IPS |
|
|
Image Classification (Q)
|
99% |
13676
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4907
79.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2127
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11152
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21811
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88455
103.7 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (HP)
|
100% |
5678
450.4 IPS |
|
|
Object Detection (Q)
|
86% |
6942
558.4 IPS |
|
|
Face Detection (SP)
|
100% |
3864
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
14922
177.3 IPS |
|
|
Face Detection (Q)
|
97% |
15835
188.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
765
5.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
22893
176.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
39240
372.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3152
4.05 IPS |
|
|
Style Transfer (HP)
|
100% |
68279
87.8 IPS |
|
|
Style Transfer (Q)
|
98% |
236018
304.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3072
113.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12916
476.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38887
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
118
157.0 IPS |
|
|
Text Classification (HP)
|
100% |
2872
3.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2812
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (HP)
|
100% |
2592
44.7 IPS |
|
|
Machine Translation (Q)
|
60% |
523
11.8 IPS |
