Win Element S800
Geekbench AI Score
6196
Single Precision Score
9348
Half Precision Score
13454
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 13 2025 01:11 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
3271
608.4 IPS |
|
|
Image Classification (HP)
|
100% |
4835
899.1 IPS |
|
|
Image Classification (Q)
|
100% |
5269
979.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4113
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10289
166.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15511
252.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23280
27.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
20757
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
62433
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
3456
274.1 IPS |
|
|
Object Detection (HP)
|
100% |
5342
423.7 IPS |
|
|
Object Detection (Q)
|
88% |
7575
607.0 IPS |
|
|
Face Detection (SP)
|
100% |
7614
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
14432
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
22936
272.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13835
106.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
22663
175.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
25770
200.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50931
65.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64683
83.2 IPS |
|
|
Style Transfer (Q)
|
98% |
148562
191.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7199
265.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12644
466.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18621
689.6 IPS |
|
|
Text Classification (SP)
|
71% |
1022
1.48 KIPS |
|
|
Text Classification (HP)
|
71% |
1304
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
1240
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2649
45.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2480
42.7 IPS |
