| User | pierresmithsp |
| Upload Date | November 19 2025 08:44 AM |
| Views | 4 |
| 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% |
12153
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
17992
3.35 KIPS |
|
|
Image Classification (Q)
|
100% |
16734
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17927
290.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23502
381.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24283
393.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
82737
96.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
316715
369.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
545449
638.6 IPS |
|
|
Object Detection (SP)
|
100% |
10208
809.7 IPS |
|
|
Object Detection (HP)
|
100% |
18085
1.43 KIPS |
|
|
Object Detection (Q)
|
88% |
19183
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
30145
358.2 IPS |
|
|
Face Detection (HP)
|
100% |
42978
510.7 IPS |
|
|
Face Detection (Q)
|
100% |
44607
530.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
59722
460.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
118337
911.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
133498
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
186812
240.1 IPS |
|
|
Style Transfer (HP)
|
100% |
514599
661.5 IPS |
|
|
Style Transfer (Q)
|
98% |
555667
716.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30485
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58569
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52227
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3609
4.82 KIPS |
|
|
Text Classification (Q)
|
92% |
3024
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3063
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3103
53.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3232
55.7 IPS |