samsung SM-X930
Geekbench AI Score
1998
Single Precision Score
1922
Half Precision Score
2852
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 03:50 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% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
1302
242.2 IPS |
|
|
Image Classification (Q)
|
100% |
2211
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2156
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2961
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2653
3.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
5583
6.62 IPS |
|
|
Object Detection (SP)
|
98% |
1303
103.7 IPS |
|
|
Object Detection (HP)
|
98% |
1316
104.7 IPS |
|
|
Object Detection (Q)
|
83% |
1766
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2862
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
4167
49.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2991
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2973
23.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5112
46.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6861
8.91 IPS |
|
|
Style Transfer (HP)
|
89% |
6732
8.74 IPS |
|
|
Style Transfer (Q)
|
98% |
12454
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3248
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
673
898.4 IPS |
|
|
Text Classification (HP)
|
99% |
726
969.2 IPS |
|
|
Text Classification (Q)
|
88% |
1196
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1715
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (Q)
|
50% |
737
26.2 IPS |
