MOREFINE S800 10-10W Win Element S800
Geekbench AI Score
1317
Single Precision Score
1301
Half Precision Score
743
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 15 2025 01:52 PM |
| Views | 9 |
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% |
912
169.6 IPS |
|
|
Image Classification (HP)
|
100% |
853
158.5 IPS |
|
|
Image Classification (Q)
|
99% |
547
102.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
1719
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1745
2.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
1739
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
978
77.6 IPS |
|
|
Object Detection (HP)
|
100% |
862
68.3 IPS |
|
|
Object Detection (Q)
|
85% |
527
42.4 IPS |
|
|
Face Detection (SP)
|
100% |
1970
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
1969
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
1181
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1709
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1702
13.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1041
9.76 IPS |
|
|
Style Transfer (SP)
|
100% |
2708
3.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2697
3.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3234
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
803
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
549
733.0 IPS |
|
|
Text Classification (HP)
|
100% |
549
732.9 IPS |
|
|
Text Classification (Q)
|
92% |
212
285.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (Q)
|
58% |
292
6.84 IPS |
