| User | pierresmithsp |
| Upload Date | November 19 2025 10:54 AM |
| Views | 2 |
| 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% |
4038
751.0 IPS |
|
|
Image Classification (HP)
|
100% |
12304
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
11271
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15511
251.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20124
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21233
344.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
70727
82.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
271853
317.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
497528
582.5 IPS |
|
|
Object Detection (SP)
|
100% |
8412
667.3 IPS |
|
|
Object Detection (HP)
|
100% |
13720
1.09 KIPS |
|
|
Object Detection (Q)
|
88% |
13727
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
5238
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
26393
313.6 IPS |
|
|
Face Detection (Q)
|
100% |
17026
202.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
46774
360.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
76632
590.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
83753
651.3 IPS |
|
|
Style Transfer (SP)
|
100% |
152449
196.0 IPS |
|
|
Style Transfer (HP)
|
100% |
441461
567.5 IPS |
|
|
Style Transfer (Q)
|
98% |
463393
597.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24546
906.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45523
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41094
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.8 IPS |
|
|
Text Classification (Q)
|
92% |
1945
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2122
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2136
36.8 IPS |