MOREFINE S800 30-30W Win Element S800
Geekbench AI Score
1479
Single Precision Score
1475
Half Precision Score
1083
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 15 2025 02:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
980
182.2 IPS |
|
|
Image Classification (HP)
|
100% |
960
178.6 IPS |
|
|
Image Classification (Q)
|
99% |
725
135.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1961
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1987
2.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
2370
2.78 IPS |
|
|
Object Detection (SP)
|
100% |
1096
87.0 IPS |
|
|
Object Detection (HP)
|
100% |
1005
79.7 IPS |
|
|
Object Detection (Q)
|
85% |
766
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2278
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
1701
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1974
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1990
15.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1452
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2963
3.81 IPS |
|
|
Style Transfer (HP)
|
100% |
3013
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
4545
5.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1228
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
936
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
655
874.2 IPS |
|
|
Text Classification (HP)
|
100% |
741
989.2 IPS |
|
|
Text Classification (Q)
|
92% |
436
585.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1315
22.7 IPS |
|
|
Machine Translation (Q)
|
58% |
446
10.5 IPS |
