samsung SM-X930
Geekbench AI Score
1228
Single Precision Score
9776
Half Precision Score
13295
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 24 2025 01:31 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% |
1239
230.4 IPS |
|
|
Image Classification (HP)
|
100% |
5307
986.9 IPS |
|
|
Image Classification (Q)
|
99% |
14040
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5056
82.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2131
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11404
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21842
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
88614
103.9 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
100% |
5738
455.1 IPS |
|
|
Object Detection (Q)
|
86% |
7016
564.3 IPS |
|
|
Face Detection (SP)
|
100% |
3848
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
14958
177.7 IPS |
|
|
Face Detection (Q)
|
97% |
15911
189.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
765
5.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
22758
175.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
39341
373.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3157
4.06 IPS |
|
|
Style Transfer (HP)
|
100% |
68520
88.1 IPS |
|
|
Style Transfer (Q)
|
98% |
236042
304.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3069
113.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12847
474.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
40439
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
119
158.4 IPS |
|
|
Text Classification (HP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2946
3.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
2626
45.2 IPS |
|
|
Machine Translation (Q)
|
60% |
527
11.9 IPS |
