samsung SM-X930
Geekbench AI Score
1218
Single Precision Score
9712
Half Precision Score
13120
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 10:14 PM |
| 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% |
1221
227.0 IPS |
|
|
Image Classification (HP)
|
100% |
5320
989.4 IPS |
|
|
Image Classification (Q)
|
99% |
13419
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
796
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5095
82.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2124
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11176
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21806
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88415
103.6 IPS |
|
|
Object Detection (SP)
|
100% |
746
59.2 IPS |
|
|
Object Detection (HP)
|
100% |
5679
450.5 IPS |
|
|
Object Detection (Q)
|
86% |
7126
573.2 IPS |
|
|
Face Detection (SP)
|
100% |
3721
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
15016
178.4 IPS |
|
|
Face Detection (Q)
|
97% |
15743
187.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
765
5.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
22833
175.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
39039
370.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3186
4.10 IPS |
|
|
Style Transfer (HP)
|
100% |
68378
87.9 IPS |
|
|
Style Transfer (Q)
|
98% |
235240
303.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3048
112.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12849
474.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39494
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
117
156.5 IPS |
|
|
Text Classification (HP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2798
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (HP)
|
100% |
2600
44.8 IPS |
|
|
Machine Translation (Q)
|
60% |
527
11.9 IPS |
