| User | pierresmithsp |
| Upload Date | April 13 2025 05:32 AM |
| Views | 8 |
| 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% |
9350
1.74 KIPS |
|
|
Image Classification (HP)
|
100% |
12409
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
7375
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12476
202.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14951
242.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10078
163.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
77423
90.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
310403
362.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63870
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
12109
960.5 IPS |
|
|
Object Detection (HP)
|
100% |
15233
1.21 KIPS |
|
|
Object Detection (Q)
|
87% |
9347
750.2 IPS |
|
|
Face Detection (SP)
|
100% |
25775
306.3 IPS |
|
|
Face Detection (HP)
|
100% |
33482
397.8 IPS |
|
|
Face Detection (Q)
|
97% |
18511
220.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
63101
486.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97420
750.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
35717
286.3 IPS |
|
|
Style Transfer (SP)
|
100% |
193177
248.3 IPS |
|
|
Style Transfer (HP)
|
100% |
513285
659.8 IPS |
|
|
Style Transfer (Q)
|
98% |
129029
166.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29427
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50779
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15788
584.6 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3353
4.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1713
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2889
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2868
49.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1703
31.9 IPS |