samsung SM-X930
Geekbench AI Score
1158
Single Precision Score
9480
Half Precision Score
12879
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2025 06:02 PM |
| Views | 1 |
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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
938
174.5 IPS |
|
|
Image Classification (HP)
|
100% |
4949
920.4 IPS |
|
|
Image Classification (Q)
|
99% |
12618
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4922
79.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2116
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10225
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21770
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
87905
103.0 IPS |
|
|
Object Detection (SP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (HP)
|
100% |
5522
438.0 IPS |
|
|
Object Detection (Q)
|
86% |
6833
549.6 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
14695
174.6 IPS |
|
|
Face Detection (Q)
|
97% |
15682
187.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
761
5.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
22586
174.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
38628
366.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3075
3.95 IPS |
|
|
Style Transfer (HP)
|
100% |
68098
87.5 IPS |
|
|
Style Transfer (Q)
|
98% |
233200
300.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12606
465.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38729
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
117
156.0 IPS |
|
|
Text Classification (HP)
|
100% |
2842
3.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2828
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
274
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (Q)
|
60% |
506
11.4 IPS |
