MOREFINE S800 60-60W Win Element S800
Geekbench AI Score
1921
Single Precision Score
2020
Half Precision Score
1347
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 15 2025 02:09 PM |
| Views | 6 |
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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
1525
283.7 IPS |
|
|
Image Classification (Q)
|
99% |
965
179.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1011
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2574
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2551
2.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
3135
3.67 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (Q)
|
85% |
1007
81.0 IPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (Q)
|
97% |
2232
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2547
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2593
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1915
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3472
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3445
4.43 IPS |
|
|
Style Transfer (Q)
|
98% |
5589
7.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1439
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1228
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
677
903.9 IPS |
|
|
Text Classification (HP)
|
100% |
1059
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
395
530.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2148
37.0 IPS |
|
|
Machine Translation (Q)
|
58% |
551
12.9 IPS |
