| User | jessefreeman |
| Upload Date | October 25 2024 10:35 AM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY_GU605MY |
| Motherboard | ASUSTeK COMPUTER INC. GU605MY |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1758
327.0 IPS |
|
|
Image Classification (HP)
|
100% |
1789
332.6 IPS |
|
|
Image Classification (Q)
|
100% |
4872
906.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2705
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2745
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5144
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4797
5.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
4370
5.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
16301
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (Q)
|
88% |
4955
397.2 IPS |
|
|
Face Detection (SP)
|
100% |
5464
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
5442
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
10900
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5178
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4982
38.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13325
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12429
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12609
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
44630
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2440
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8194
303.5 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
3237
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2357
40.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2378
41.0 IPS |