samsung SM-X930
Geekbench AI Score
1213
Single Precision Score
9626
Half Precision Score
13118
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 08:47 AM |
| Views | 4 |
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% |
1194
222.1 IPS |
|
|
Image Classification (HP)
|
100% |
5292
984.1 IPS |
|
|
Image Classification (Q)
|
99% |
13772
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5001
81.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2122
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11215
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21781
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88360
103.6 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.4 IPS |
|
|
Object Detection (HP)
|
100% |
5622
445.9 IPS |
|
|
Object Detection (Q)
|
86% |
6972
560.8 IPS |
|
|
Face Detection (SP)
|
100% |
3855
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
14611
173.6 IPS |
|
|
Face Detection (Q)
|
97% |
15778
188.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
770
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
22753
175.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
39383
374.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3063
3.94 IPS |
|
|
Style Transfer (HP)
|
100% |
68331
87.8 IPS |
|
|
Style Transfer (Q)
|
98% |
235823
304.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3035
112.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12935
477.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38958
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
117
155.9 IPS |
|
|
Text Classification (HP)
|
100% |
2866
3.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2885
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (Q)
|
60% |
509
11.5 IPS |
