MOREFINE S800 Win Element S800
Geekbench AI Score
2304
Single Precision Score
716
Half Precision Score
5762
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 13 2025 01:05 PM |
| Views | 7 |
| Notes | Ubuntu 24.04, governor Performance, 128GB (2x64) 5600 CL46 DDR5, PL1: 70W, PL2: 80W |
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 | 125.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1103
205.2 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
97% |
4621
862.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
3189
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3889
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3149
3.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
20897
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
86% |
3992
320.8 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (Q)
|
97% |
12424
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4617
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
778
5.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
11853
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9950
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8062
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17414
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1748
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1304
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3796
140.6 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
332
443.2 IPS |
|
|
Text Classification (Q)
|
97% |
1104
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1701
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (Q)
|
65% |
3058
61.5 IPS |
