| User | vtomi07 |
| Upload Date | February 08 2026 04:00 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760 DS3H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760 DS3H DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1470
273.5 IPS |
|
|
Image Classification (HP)
|
100% |
2449
455.4 IPS |
|
|
Image Classification (Q)
|
99% |
3842
716.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3635
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4213
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (HP)
|
99% |
2887
3.37 IPS |
|
|
Pose Estimation (Q)
|
97% |
11866
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (HP)
|
98% |
2158
171.7 IPS |
|
|
Object Detection (Q)
|
90% |
4091
327.1 IPS |
|
|
Face Detection (SP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7215
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
10068
119.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4714
36.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7899
61.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
10743
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10464
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14651
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27162
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1839
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2984
110.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6239
231.1 IPS |
|
|
Text Classification (SP)
|
71% |
1119
1.62 KIPS |
|
|
Text Classification (HP)
|
71% |
1548
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
1379
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2165
37.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2165
37.3 IPS |