samsung SM-X930
Geekbench AI Score
1218
Single Precision Score
9607
Half Precision Score
13089
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 07:58 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% |
1207
224.5 IPS |
|
|
Image Classification (HP)
|
100% |
5304
986.3 IPS |
|
|
Image Classification (Q)
|
99% |
13305
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4912
79.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2127
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11473
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21783
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88399
103.6 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
5553
440.5 IPS |
|
|
Object Detection (Q)
|
86% |
6947
558.8 IPS |
|
|
Face Detection (SP)
|
100% |
3817
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
14629
173.8 IPS |
|
|
Face Detection (Q)
|
97% |
15773
188.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
769
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
22762
175.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
39193
372.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3119
4.01 IPS |
|
|
Style Transfer (HP)
|
100% |
68148
87.6 IPS |
|
|
Style Transfer (Q)
|
98% |
236113
304.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3058
112.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12941
477.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
40212
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
117
155.9 IPS |
|
|
Text Classification (HP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2833
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (Q)
|
60% |
511
11.5 IPS |
