| User | pierresmithsp |
| Upload Date | May 19 2025 05:24 PM |
| Views | 14 |
| 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% |
11611
2.16 KIPS |
|
|
Image Classification (HP)
|
100% |
16904
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
17177
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17259
279.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21560
349.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22946
372.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
81153
94.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
311972
364.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
533265
624.3 IPS |
|
|
Object Detection (SP)
|
100% |
9827
779.5 IPS |
|
|
Object Detection (HP)
|
100% |
17764
1.41 KIPS |
|
|
Object Detection (Q)
|
88% |
18472
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
28930
343.8 IPS |
|
|
Face Detection (HP)
|
100% |
39598
470.5 IPS |
|
|
Face Detection (Q)
|
100% |
43623
518.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
59404
457.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
116519
897.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
125795
978.2 IPS |
|
|
Style Transfer (SP)
|
100% |
184882
237.7 IPS |
|
|
Style Transfer (HP)
|
100% |
509313
654.7 IPS |
|
|
Style Transfer (Q)
|
98% |
545734
703.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30491
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61078
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53992
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
3069
4.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2968
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3076
53.0 IPS |