samsung SM-X930
Geekbench AI Score
2005
Single Precision Score
1951
Half Precision Score
2813
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 01:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1594
296.4 IPS |
|
|
Image Classification (HP)
|
100% |
1269
236.0 IPS |
|
|
Image Classification (Q)
|
100% |
2094
389.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2287
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2828
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2849
3.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
5401
6.41 IPS |
|
|
Object Detection (SP)
|
98% |
1325
105.5 IPS |
|
|
Object Detection (HP)
|
98% |
1283
102.1 IPS |
|
|
Object Detection (Q)
|
83% |
1825
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
2916
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
4370
52.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3120
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3158
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4573
41.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7275
9.44 IPS |
|
|
Style Transfer (HP)
|
89% |
6975
9.05 IPS |
|
|
Style Transfer (Q)
|
98% |
12825
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2982
110.5 IPS |
|
|
Text Classification (SP)
|
100% |
625
834.8 IPS |
|
|
Text Classification (HP)
|
99% |
634
845.7 IPS |
|
|
Text Classification (Q)
|
88% |
1190
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (Q)
|
50% |
723
25.7 IPS |
