| User | Benjamin_Personal |
| Upload Date | April 14 2026 10:04 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11950H @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7760 |
| Motherboard | Dell Inc. 0H3D01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11950H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2511
466.9 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.1 IPS |
|
|
Image Classification (Q)
|
100% |
6599
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6773
109.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4587
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4750
5.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
18421
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
2362
187.3 IPS |
|
|
Object Detection (Q)
|
88% |
5905
473.4 IPS |
|
|
Face Detection (SP)
|
100% |
5033
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
5058
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
16758
199.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5955
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6060
46.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
17194
133.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12534
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12627
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
45139
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2669
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2800
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8520
315.5 IPS |
|
|
Text Classification (SP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
3353
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3169
54.6 IPS |