Win Element S800
Geekbench AI Score
2177
Single Precision Score
2035
Half Precision Score
1369
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 15 2025 02:15 PM |
| Views | 4 |
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% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
1437
267.2 IPS |
|
|
Image Classification (Q)
|
99% |
993
185.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1044
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2611
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2693
3.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
3264
3.82 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
100% |
1705
135.2 IPS |
|
|
Object Detection (Q)
|
85% |
1048
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (Q)
|
97% |
2350
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2707
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2714
20.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2008
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3506
4.51 IPS |
|
|
Style Transfer (HP)
|
100% |
3528
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
5874
7.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1973
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1252
46.4 IPS |
|
|
Text Classification (SP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
396
532.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1806
31.1 IPS |
|
|
Machine Translation (Q)
|
58% |
477
11.2 IPS |
