| User | pierresmithsp |
| Upload Date | September 15 2025 09:19 PM |
| 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% |
12373
2.30 KIPS |
|
|
Image Classification (HP)
|
100% |
17983
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
19560
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18362
297.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24090
390.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24660
399.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
83329
97.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
318112
371.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
546790
640.2 IPS |
|
|
Object Detection (SP)
|
100% |
10192
808.5 IPS |
|
|
Object Detection (HP)
|
100% |
18596
1.48 KIPS |
|
|
Object Detection (Q)
|
88% |
19520
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
30836
366.4 IPS |
|
|
Face Detection (HP)
|
100% |
43605
518.1 IPS |
|
|
Face Detection (Q)
|
100% |
45403
539.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
59914
461.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
119386
919.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
133808
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
187677
241.3 IPS |
|
|
Style Transfer (HP)
|
100% |
519205
667.4 IPS |
|
|
Style Transfer (Q)
|
98% |
555695
716.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30864
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62200
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53802
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
4178
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (Q)
|
92% |
3206
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3458
59.6 IPS |