| User | gethen |
| Upload Date | July 06 2025 03:42 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B760M Pro-A WiFi |
| Motherboard | ASRock B760M Pro-A WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9845
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
18783
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
8849
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21486
348.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
31775
515.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19416
315.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
164955
192.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
453258
528.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
143100
167.6 IPS |
|
|
Object Detection (SP)
|
100% |
13925
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
23134
1.83 KIPS |
|
|
Object Detection (Q)
|
83% |
11696
945.0 IPS |
|
|
Face Detection (SP)
|
100% |
38516
457.7 IPS |
|
|
Face Detection (HP)
|
100% |
55302
657.1 IPS |
|
|
Face Detection (Q)
|
97% |
32773
390.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
67197
517.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
125731
968.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
53474
426.8 IPS |
|
|
Style Transfer (SP)
|
100% |
232505
298.9 IPS |
|
|
Style Transfer (HP)
|
100% |
763552
981.6 IPS |
|
|
Style Transfer (Q)
|
98% |
198280
255.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39953
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74434
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31158
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4514
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2388
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5891
101.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6090
104.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2871
53.9 IPS |