MOREFINE S800 Win Element S800
Geekbench AI Score
1971
Single Precision Score
2037
Half Precision Score
1382
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 12 2025 01:29 PM |
| Views | 8 |
| Notes | TensorFlow Lite - CPU |
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 | 62.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1510
280.9 IPS |
|
|
Image Classification (HP)
|
100% |
1428
265.6 IPS |
|
|
Image Classification (Q)
|
99% |
993
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1035
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2357
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2309
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
3224
3.78 IPS |
|
|
Object Detection (SP)
|
100% |
1654
131.2 IPS |
|
|
Object Detection (HP)
|
100% |
1648
130.7 IPS |
|
|
Object Detection (Q)
|
85% |
1024
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
2278
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2317
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2507
19.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1964
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2892
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2928
3.76 IPS |
|
|
Style Transfer (Q)
|
98% |
5650
7.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1911
70.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1463
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1105
1.47 KIPS |
|
|
Text Classification (Q)
|
92% |
390
524.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (Q)
|
58% |
520
12.2 IPS |
