RuggON SOL7
Geekbench AI Score
3141
Single Precision Score
5532
Half Precision Score
8805
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 04 2025 04:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | RuggON SOL7 |
| Motherboard | RuggON SOL7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2407
447.6 IPS |
|
|
Image Classification (HP)
|
100% |
4148
771.4 IPS |
|
|
Image Classification (Q)
|
100% |
4988
927.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3890
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7988
129.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8371
9.77 IPS |
|
|
Pose Estimation (HP)
|
99% |
8103
9.48 IPS |
|
|
Pose Estimation (Q)
|
97% |
26203
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
100% |
3921
311.1 IPS |
|
|
Object Detection (Q)
|
88% |
6455
517.3 IPS |
|
|
Face Detection (SP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
7926
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
14819
176.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6463
49.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13038
100.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
17756
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17987
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25315
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48905
63.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3122
115.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6134
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8757
324.3 IPS |
|
|
Text Classification (SP)
|
71% |
859
1.24 KIPS |
|
|
Text Classification (HP)
|
71% |
1478
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
1683
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2211
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2193
37.9 IPS |
