| User | pierresmithsp |
| Upload Date | November 19 2025 08:41 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M DS3H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M DS3H DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12191
2.27 KIPS |
|
|
Image Classification (HP)
|
100% |
18257
3.40 KIPS |
|
|
Image Classification (Q)
|
100% |
18923
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18089
293.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24133
391.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24621
399.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
83067
96.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
318718
371.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
548719
642.4 IPS |
|
|
Object Detection (SP)
|
100% |
10071
798.8 IPS |
|
|
Object Detection (HP)
|
100% |
18019
1.43 KIPS |
|
|
Object Detection (Q)
|
88% |
18903
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
30175
358.5 IPS |
|
|
Face Detection (HP)
|
100% |
41694
495.4 IPS |
|
|
Face Detection (Q)
|
100% |
44391
527.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
59805
460.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
117238
903.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
130956
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
187845
241.5 IPS |
|
|
Style Transfer (HP)
|
100% |
513231
659.8 IPS |
|
|
Style Transfer (Q)
|
98% |
538549
694.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30135
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57882
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50043
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (Q)
|
92% |
3085
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2603
44.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2736
47.1 IPS |