Win Element S800
Geekbench AI Score
4631
Single Precision Score
4682
Half Precision Score
11063
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 13 2025 01:09 PM |
| Views | 4 |
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 | 125.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2656
493.9 IPS |
|
|
Image Classification (HP)
|
100% |
2786
518.1 IPS |
|
|
Image Classification (Q)
|
100% |
6729
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3591
58.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3582
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7195
116.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5163
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5260
6.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
19431
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
2714
215.2 IPS |
|
|
Object Detection (Q)
|
88% |
7133
571.8 IPS |
|
|
Face Detection (SP)
|
100% |
7572
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
7628
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
15462
183.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6862
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6914
53.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
18277
142.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15307
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15549
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
54265
70.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3157
116.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3171
117.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11294
418.3 IPS |
|
|
Text Classification (SP)
|
100% |
2821
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (Q)
|
92% |
4866
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4876
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4841
83.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4856
83.7 IPS |
