| User | nsb002 |
| Upload Date | August 28 2024 02:07 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0011US |
| Motherboard | LENOVO 21KV0011US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1548
287.8 IPS |
|
|
Image Classification (HP)
|
100% |
1579
293.6 IPS |
|
|
Image Classification (Q)
|
100% |
4222
785.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2590
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4193
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4445
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
5165
6.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
18081
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.9 IPS |
|
|
Object Detection (HP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (Q)
|
88% |
4244
340.2 IPS |
|
|
Face Detection (SP)
|
100% |
5041
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
5115
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
10040
119.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4419
34.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
5576
43.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
11850
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11572
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14167
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
49671
64.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2433
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2469
91.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7819
289.6 IPS |
|
|
Text Classification (SP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (Q)
|
92% |
2801
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2245
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (Q)
|
85% |
3453
60.4 IPS |