MOREFINE S800 Win Element S800
Geekbench AI Score
2138
Single Precision Score
643
Half Precision Score
5634
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 12 2025 02:07 PM |
| Views | 7 |
| Notes | ONNX - CPU |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Win Element S800 |
| Motherboard | Win Element Default string |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1106
205.7 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.6 IPS |
|
|
Image Classification (Q)
|
97% |
4177
779.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
2658
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3668
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3007
3.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
20021
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (Q)
|
86% |
4605
370.1 IPS |
|
|
Face Detection (SP)
|
100% |
2807
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (Q)
|
97% |
12436
148.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4220
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
13848
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9110
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7498
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
17976
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1774
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1166
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3013
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
1105
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
333
444.7 IPS |
|
|
Text Classification (Q)
|
97% |
1083
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.14 IPS |
|
|
Machine Translation (Q)
|
65% |
3117
62.6 IPS |
