| User | hidash |
| Upload Date | September 13 2025 06:29 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Thirdwave Corporation XA7C-R48 |
| Motherboard | ASRock B760 TW/D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12864
2.39 KIPS |
|
|
Image Classification (HP)
|
99% |
17805
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
11213
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20552
333.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
27364
443.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19614
318.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
250649
292.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
510061
595.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
222216
260.4 IPS |
|
|
Object Detection (SP)
|
100% |
15859
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
22001
1.75 KIPS |
|
|
Object Detection (Q)
|
85% |
13466
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
44130
524.4 IPS |
|
|
Face Detection (HP)
|
100% |
57823
687.1 IPS |
|
|
Face Detection (Q)
|
97% |
39699
473.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
82325
634.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
152598
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61092
487.9 IPS |
|
|
Style Transfer (SP)
|
100% |
377364
485.1 IPS |
|
|
Style Transfer (HP)
|
100% |
878366
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
322165
415.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54490
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73665
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41834
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3682
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
4409
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2214
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5362
92.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5311
91.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2648
49.7 IPS |