samsung SM-X930
Geekbench AI Score
2104
Single Precision Score
2083
Half Precision Score
3154
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 22 2025 02:57 AM |
| Views | 4 |
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% |
1613
299.9 IPS |
|
|
Image Classification (HP)
|
100% |
1623
301.8 IPS |
|
|
Image Classification (Q)
|
100% |
2667
496.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2595
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2752
3.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
6459
7.66 IPS |
|
|
Object Detection (SP)
|
98% |
1422
113.1 IPS |
|
|
Object Detection (HP)
|
98% |
1397
111.2 IPS |
|
|
Object Detection (Q)
|
83% |
1941
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (Q)
|
95% |
4575
54.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3261
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3335
25.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5506
50.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7188
9.33 IPS |
|
|
Style Transfer (HP)
|
89% |
7560
9.81 IPS |
|
|
Style Transfer (Q)
|
98% |
13350
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3269
121.1 IPS |
|
|
Text Classification (SP)
|
100% |
661
881.9 IPS |
|
|
Text Classification (HP)
|
99% |
650
867.2 IPS |
|
|
Text Classification (Q)
|
88% |
1289
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (Q)
|
50% |
793
28.2 IPS |
