samsung SM-X930
Geekbench AI Score
1224
Single Precision Score
9656
Half Precision Score
13044
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | September 23 2025 08:32 AM |
| Views | 5 |
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% |
1237
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
5228
972.2 IPS |
|
|
Image Classification (Q)
|
99% |
13365
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4987
80.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2130
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11453
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21773
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88480
103.7 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.4 IPS |
|
|
Object Detection (HP)
|
100% |
5542
439.6 IPS |
|
|
Object Detection (Q)
|
86% |
6767
544.3 IPS |
|
|
Face Detection (SP)
|
100% |
3818
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
14992
178.1 IPS |
|
|
Face Detection (Q)
|
97% |
15789
188.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
768
5.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
22757
175.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
38991
370.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3152
4.05 IPS |
|
|
Style Transfer (HP)
|
100% |
68322
87.8 IPS |
|
|
Style Transfer (Q)
|
98% |
234509
302.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3041
112.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12780
471.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39376
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
118
157.0 IPS |
|
|
Text Classification (HP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2875
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
2558
44.1 IPS |
|
|
Machine Translation (Q)
|
60% |
512
11.5 IPS |
