| User | MutnuyHavy |
| Upload Date | July 29 2025 06:34 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900HX |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | COLORFUL P16 Pro IXA1 |
| Motherboard | COLORFUL P16 Pro IXA1 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2838
527.9 IPS |
|
|
Image Classification (HP)
|
100% |
3021
561.9 IPS |
|
|
Image Classification (Q)
|
100% |
7756
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7573
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3870
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3867
4.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
22492
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
88% |
7626
611.3 IPS |
|
|
Face Detection (SP)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
2008
23.9 IPS |
|
|
Face Detection (Q)
|
100% |
16148
191.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5855
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5629
43.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
22820
177.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19560
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20900
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
75801
97.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2509
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2490
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13944
516.4 IPS |
|
|
Text Classification (SP)
|
100% |
2508
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (Q)
|
92% |
4896
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2134
36.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1838
31.7 IPS |