| User | AgenttiX |
| Upload Date | April 09 2025 08:31 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21AK0013MX |
| Motherboard | LENOVO 21AK0013MX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2982
554.5 IPS |
|
|
Image Classification (HP)
|
100% |
4693
872.8 IPS |
|
|
Image Classification (Q)
|
99% |
6070
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4195
68.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7066
114.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8216
133.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10556
12.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
7677
8.96 IPS |
|
|
Pose Estimation (Q)
|
97% |
31108
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
2896
229.7 IPS |
|
|
Object Detection (HP)
|
100% |
3914
310.5 IPS |
|
|
Object Detection (Q)
|
90% |
6211
496.6 IPS |
|
|
Face Detection (SP)
|
100% |
5943
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
10672
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
15489
184.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10252
79.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
15324
118.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
19878
154.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25922
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35029
45.0 IPS |
|
|
Style Transfer (Q)
|
98% |
71717
92.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4433
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12913
478.2 IPS |
|
|
Text Classification (SP)
|
71% |
1260
1.82 KIPS |
|
|
Text Classification (HP)
|
71% |
1466
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
1436
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1856
32.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1856
32.0 IPS |