| User | Jack4Maps |
| Upload Date | January 12 2025 10:36 AM |
| Views | 7 |
| 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 21KV0015US |
| Motherboard | LENOVO 21KV0015US |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1182
219.7 IPS |
|
|
Image Classification (HP)
|
100% |
1214
225.7 IPS |
|
|
Image Classification (Q)
|
100% |
3383
629.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3258
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3455
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3119
3.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
10222
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1187
94.2 IPS |
|
|
Object Detection (HP)
|
100% |
1161
92.1 IPS |
|
|
Object Detection (Q)
|
88% |
2922
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
3818
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3704
44.0 IPS |
|
|
Face Detection (Q)
|
100% |
7635
90.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3286
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3307
25.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
8066
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9127
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8885
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30691
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5445
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1479
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2767
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1559
26.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1526
26.3 IPS |