| User | pierresmithsp |
| Upload Date | September 06 2025 07:33 AM |
| Views | 6 |
| 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% |
11985
2.23 KIPS |
|
|
Image Classification (HP)
|
100% |
17891
3.33 KIPS |
|
|
Image Classification (Q)
|
100% |
18474
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17904
290.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23545
381.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23595
382.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
82419
96.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
314351
366.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
543122
635.9 IPS |
|
|
Object Detection (SP)
|
100% |
10004
793.6 IPS |
|
|
Object Detection (HP)
|
100% |
17976
1.43 KIPS |
|
|
Object Detection (Q)
|
88% |
18792
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
29854
354.7 IPS |
|
|
Face Detection (HP)
|
100% |
41937
498.3 IPS |
|
|
Face Detection (Q)
|
100% |
44066
523.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
59755
460.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
117948
908.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
133802
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
186274
239.5 IPS |
|
|
Style Transfer (HP)
|
100% |
508251
653.4 IPS |
|
|
Style Transfer (Q)
|
98% |
553786
714.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30829
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60096
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53105
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3626
4.84 KIPS |
|
|
Text Classification (Q)
|
92% |
3036
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3128
53.9 IPS |