| User | pierresmithsp |
| Upload Date | August 14 2025 06:00 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| 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% |
9706
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
12328
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
7472
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12256
198.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13429
217.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8776
142.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
75015
87.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
296520
346.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61878
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
11809
936.7 IPS |
|
|
Object Detection (HP)
|
100% |
15100
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
9198
738.3 IPS |
|
|
Face Detection (SP)
|
100% |
24873
295.5 IPS |
|
|
Face Detection (HP)
|
100% |
31984
380.0 IPS |
|
|
Face Detection (Q)
|
97% |
17525
209.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
61229
471.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96289
741.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
35529
284.8 IPS |
|
|
Style Transfer (SP)
|
100% |
188790
242.7 IPS |
|
|
Style Transfer (HP)
|
100% |
513509
660.1 IPS |
|
|
Style Transfer (Q)
|
98% |
127467
164.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29059
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50987
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15704
581.5 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1700
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2698
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2701
46.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1643
30.8 IPS |