| User | pierresmithsp |
| Upload Date | July 19 2025 05:55 AM |
| Views | 10 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11225
2.09 KIPS |
|
|
Image Classification (HP)
|
100% |
14089
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
16687
3.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14929
242.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21032
340.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21394
346.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
62710
73.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
298082
347.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
473502
554.4 IPS |
|
|
Object Detection (SP)
|
100% |
8704
690.4 IPS |
|
|
Object Detection (HP)
|
100% |
13817
1.10 KIPS |
|
|
Object Detection (Q)
|
88% |
13532
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
19928
236.8 IPS |
|
|
Face Detection (HP)
|
100% |
40498
481.2 IPS |
|
|
Face Detection (Q)
|
100% |
36259
430.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
57673
444.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
117008
901.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
129115
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
142668
183.4 IPS |
|
|
Style Transfer (HP)
|
100% |
468247
601.9 IPS |
|
|
Style Transfer (Q)
|
98% |
533062
687.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28950
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50705
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48575
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3788
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2513
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2453
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2607
44.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2562
44.1 IPS |