| User | GyBHard |
| Upload Date | January 17 2026 03:14 PM |
| Views | 5 |
| 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. Z690 GAMING X DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1557
289.6 IPS |
|
|
Image Classification (HP)
|
100% |
2594
482.5 IPS |
|
|
Image Classification (Q)
|
99% |
3980
742.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3859
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4465
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4242
4.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
3092
3.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
12679
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
98% |
2280
181.4 IPS |
|
|
Object Detection (Q)
|
90% |
4254
340.2 IPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
7736
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
10195
121.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4974
38.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8455
65.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11539
89.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11216
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15907
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29159
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3206
118.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6612
244.9 IPS |
|
|
Text Classification (SP)
|
71% |
1159
1.68 KIPS |
|
|
Text Classification (HP)
|
71% |
1673
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1454
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2255
39.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2241
38.6 IPS |