samsung SM-X930
Geekbench AI Score
1226
Single Precision Score
9620
Half Precision Score
13057
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 07:39 AM |
| Views | 2 |
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% |
1243
231.1 IPS |
|
|
Image Classification (HP)
|
100% |
5226
971.9 IPS |
|
|
Image Classification (Q)
|
99% |
13597
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4984
80.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2122
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11575
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21787
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88335
103.5 IPS |
|
|
Object Detection (SP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (HP)
|
100% |
5626
446.2 IPS |
|
|
Object Detection (Q)
|
86% |
6866
552.3 IPS |
|
|
Face Detection (SP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
14951
177.6 IPS |
|
|
Face Detection (Q)
|
97% |
15804
188.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
770
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
22745
175.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
39027
370.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3140
4.04 IPS |
|
|
Style Transfer (HP)
|
100% |
68290
87.8 IPS |
|
|
Style Transfer (Q)
|
98% |
236197
304.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3042
112.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12688
468.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39142
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
117
156.6 IPS |
|
|
Text Classification (HP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2814
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (Q)
|
60% |
513
11.6 IPS |
