| User | gundar |
| Upload Date | July 18 2025 02:42 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 8940 |
| Motherboard | Dell Inc. 0427JK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3205
596.1 IPS |
|
|
Image Classification (HP)
|
100% |
3197
594.6 IPS |
|
|
Image Classification (Q)
|
100% |
8684
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3298
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3253
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7556
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6739
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
6693
7.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
26415
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
2798
222.0 IPS |
|
|
Object Detection (HP)
|
100% |
2796
221.8 IPS |
|
|
Object Detection (Q)
|
88% |
8941
716.7 IPS |
|
|
Face Detection (SP)
|
100% |
5040
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
4888
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
21093
250.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8310
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8314
64.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
23066
179.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17145
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16937
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
67563
87.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3762
138.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13371
495.2 IPS |
|
|
Text Classification (SP)
|
100% |
3334
4.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (Q)
|
92% |
4618
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4051
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4031
69.4 IPS |