MOREFINE S800 Win Element S800
Geekbench AI Score
4507
Single Precision Score
4541
Half Precision Score
10765
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 12 2025 02:10 PM |
| Views | 8 |
| Notes | OpenVINO CPU |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
2587
481.0 IPS |
|
|
Image Classification (HP)
|
100% |
2716
505.1 IPS |
|
|
Image Classification (Q)
|
100% |
6637
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3453
56.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3468
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6945
112.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5030
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5100
5.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
18872
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.0 IPS |
|
|
Object Detection (HP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (Q)
|
88% |
6968
558.5 IPS |
|
|
Face Detection (SP)
|
100% |
7234
86.0 IPS |
|
|
Face Detection (HP)
|
100% |
7248
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
14581
173.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6716
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6752
52.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
17848
138.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15042
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14930
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
52607
67.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3020
111.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10997
407.3 IPS |
|
|
Text Classification (SP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2783
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
4816
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4745
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4772
82.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4756
81.9 IPS |
