Win Element S800
Geekbench AI Score
1968
Single Precision Score
2041
Half Precision Score
1385
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 13 2025 12:28 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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (Q)
|
99% |
993
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1038
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2576
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2534
2.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
3226
3.78 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (Q)
|
85% |
1017
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
2277
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2622
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2533
19.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1965
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3466
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3483
4.48 IPS |
|
|
Style Transfer (Q)
|
98% |
5546
7.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1446
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1427
52.9 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
390
524.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1734
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2127
36.6 IPS |
|
|
Machine Translation (Q)
|
58% |
557
13.1 IPS |
