samsung SM-X930
Geekbench AI Score
1214
Single Precision Score
9655
Half Precision Score
13126
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 08:51 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% |
1195
222.3 IPS |
|
|
Image Classification (HP)
|
100% |
5305
986.6 IPS |
|
|
Image Classification (Q)
|
99% |
13544
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4989
80.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2124
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11580
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21784
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88362
103.6 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
5576
442.3 IPS |
|
|
Object Detection (Q)
|
86% |
6872
552.8 IPS |
|
|
Face Detection (SP)
|
100% |
3823
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
14862
176.6 IPS |
|
|
Face Detection (Q)
|
97% |
15779
188.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
769
5.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
22829
175.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
38865
369.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3087
3.97 IPS |
|
|
Style Transfer (HP)
|
100% |
68460
88.0 IPS |
|
|
Style Transfer (Q)
|
98% |
235621
303.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3020
111.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12840
474.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39826
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
117
156.4 IPS |
|
|
Text Classification (HP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2956
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (Q)
|
60% |
511
11.5 IPS |
