Win Element S800
Geekbench AI Score
2268
Single Precision Score
2155
Half Precision Score
1435
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 15 2025 02:18 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% |
1615
300.3 IPS |
|
|
Image Classification (HP)
|
100% |
1510
280.8 IPS |
|
|
Image Classification (Q)
|
99% |
1046
195.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1061
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2717
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2715
3.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
3320
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
1802
143.0 IPS |
|
|
Object Detection (HP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (Q)
|
85% |
1118
90.0 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (Q)
|
97% |
2389
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2744
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2717
20.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2003
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3509
4.51 IPS |
|
|
Style Transfer (HP)
|
100% |
3523
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
5889
7.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2072
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1526
56.5 IPS |
|
|
Text Classification (SP)
|
100% |
1334
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (Q)
|
92% |
393
528.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2322
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (Q)
|
58% |
534
12.5 IPS |
