| User | pierresmithsp |
| Upload Date | October 13 2025 08:09 PM |
| Views | 7 |
| 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% |
11726
2.18 KIPS |
|
|
Image Classification (HP)
|
100% |
16586
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
5587
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17015
275.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22258
360.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23129
374.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
80745
94.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
312571
364.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
527433
617.5 IPS |
|
|
Object Detection (SP)
|
100% |
9761
774.3 IPS |
|
|
Object Detection (HP)
|
100% |
17182
1.36 KIPS |
|
|
Object Detection (Q)
|
88% |
17018
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
28589
339.7 IPS |
|
|
Face Detection (HP)
|
100% |
41633
494.7 IPS |
|
|
Face Detection (Q)
|
100% |
30194
358.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
57527
443.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
112667
868.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
123978
964.1 IPS |
|
|
Style Transfer (SP)
|
100% |
185386
238.3 IPS |
|
|
Style Transfer (HP)
|
100% |
495310
636.7 IPS |
|
|
Style Transfer (Q)
|
98% |
538605
694.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29775
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56234
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48576
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2397
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2772
47.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2774
47.8 IPS |