| User | jjms |
| Upload Date | March 28 2026 04:48 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Alienware Alienware m16 R2 |
| Motherboard | Alienware 02PTX7 |
| Power Plan | Equilibrado |
| 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 | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4233
787.2 IPS |
|
|
Image Classification (HP)
|
100% |
6346
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
6972
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3899
63.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9151
148.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12431
201.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15766
18.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
14585
17.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
49684
58.2 IPS |
|
|
Object Detection (SP)
|
100% |
3741
296.7 IPS |
|
|
Object Detection (HP)
|
100% |
6291
499.0 IPS |
|
|
Object Detection (Q)
|
88% |
9055
725.7 IPS |
|
|
Face Detection (SP)
|
100% |
6094
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
11645
138.4 IPS |
|
|
Face Detection (Q)
|
100% |
19800
235.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12826
98.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
21798
168.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
25962
201.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38522
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
47084
60.5 IPS |
|
|
Style Transfer (Q)
|
98% |
117911
152.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6416
236.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10745
396.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15678
580.6 IPS |
|
|
Text Classification (SP)
|
71% |
1176
1.70 KIPS |
|
|
Text Classification (HP)
|
71% |
1853
2.68 KIPS |
|
|
Text Classification (Q)
|
92% |
1726
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1946
33.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2433
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2601
45.0 IPS |