Win Element S800
Geekbench AI Score
1995
Single Precision Score
2094
Half Precision Score
1387
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 13 2025 12:56 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% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
1593
296.2 IPS |
|
|
Image Classification (Q)
|
99% |
1001
186.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
971
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2583
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2641
3.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
3230
3.78 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (Q)
|
85% |
1028
82.7 IPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (Q)
|
97% |
2283
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2612
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2612
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1962
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3488
4.48 IPS |
|
|
Style Transfer (HP)
|
100% |
3482
4.48 IPS |
|
|
Style Transfer (Q)
|
98% |
5747
7.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1930
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1451
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
1073
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
415
558.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2151
37.1 IPS |
|
|
Machine Translation (Q)
|
58% |
528
12.4 IPS |
