Morefine S800 Win11 Win Element S800
Geekbench AI Score
8496
Single Precision Score
13371
Half Precision Score
20718
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 07 2025 05:17 PM |
| Views | 12 |
| Notes | OpenVINO - GPU |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Win Element S800 |
| Motherboard | Win Element Default string |
| Power Plan | Balanced |
| 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 | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5913
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
9061
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
10852
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4681
75.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12417
201.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19780
320.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24702
28.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
23837
27.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
81337
95.2 IPS |
|
|
Object Detection (SP)
|
100% |
5346
424.1 IPS |
|
|
Object Detection (HP)
|
100% |
9518
755.0 IPS |
|
|
Object Detection (Q)
|
88% |
14014
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
8985
106.8 IPS |
|
|
Face Detection (HP)
|
100% |
18007
214.0 IPS |
|
|
Face Detection (Q)
|
100% |
31220
371.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20234
155.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
34039
263.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
41543
322.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55298
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
74025
95.2 IPS |
|
|
Style Transfer (Q)
|
98% |
188697
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10092
372.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15708
580.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24990
925.5 IPS |
|
|
Text Classification (SP)
|
71% |
1842
2.66 KIPS |
|
|
Text Classification (HP)
|
71% |
2726
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2724
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2869
49.4 IPS |
|
|
Machine Translation (HP)
|
96% |
3684
63.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3575
61.6 IPS |
