RuggON SOL7
Geekbench AI Score
1956
Single Precision Score
843
Half Precision Score
3836
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 17 2025 03:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255U |
| 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 7 255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1505
279.8 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.8 IPS |
|
|
Image Classification (Q)
|
99% |
3817
712.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
2094
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3067
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2041
2.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
11665
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.4 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.9 IPS |
|
|
Object Detection (Q)
|
86% |
3334
267.9 IPS |
|
|
Face Detection (SP)
|
100% |
2864
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
5159
61.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4068
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1239
9.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
8242
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7477
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
5018
6.45 IPS |
|
|
Style Transfer (Q)
|
98% |
10470
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2427
89.9 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
468
624.8 IPS |
|
|
Text Classification (Q)
|
97% |
1204
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (Q)
|
65% |
1710
34.4 IPS |
