Win Element S800
Geekbench AI Score
2113
Single Precision Score
2183
Half Precision Score
1399
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 15 2025 02:21 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% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (Q)
|
99% |
922
171.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1063
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2734
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2769
3.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
3328
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (Q)
|
85% |
1138
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
2395
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2728
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2780
21.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2010
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3529
4.54 IPS |
|
|
Style Transfer (HP)
|
100% |
3523
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
5761
7.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1271
47.1 IPS |
|
|
Text Classification (SP)
|
100% |
1075
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1029
1.37 KIPS |
|
|
Text Classification (Q)
|
92% |
423
568.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2416
41.6 IPS |
|
|
Machine Translation (Q)
|
58% |
519
12.2 IPS |
