Morefine S800 Win11 Win Element S800
Geekbench AI Score
2896
Single Precision Score
3003
Half Precision Score
6822
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 07 2025 05:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Win Element S800 |
| Motherboard | Win Element Default string |
| Power Plan | Balanced |
| 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 | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (HP)
|
100% |
1508
280.4 IPS |
|
|
Image Classification (Q)
|
100% |
3788
704.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3272
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3928
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3902
4.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
11620
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
966
76.6 IPS |
|
|
Object Detection (HP)
|
100% |
975
77.3 IPS |
|
|
Object Detection (Q)
|
88% |
3006
241.0 IPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
5124
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
9738
115.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4758
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5911
45.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
14010
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12620
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12632
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
45068
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2657
98.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2476
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8529
315.9 IPS |
|
|
Text Classification (SP)
|
100% |
2123
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
3711
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2639
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2574
44.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2593
44.7 IPS |
