| User | fenom |
| Upload Date | October 15 2025 04:32 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760 DS3H AC DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760 DS3H AC DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10416
1.94 KIPS |
|
|
Image Classification (HP)
|
99% |
14412
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
9220
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13762
223.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16348
265.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12871
209.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
178070
207.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
418471
488.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
161670
189.4 IPS |
|
|
Object Detection (SP)
|
100% |
12068
957.3 IPS |
|
|
Object Detection (HP)
|
100% |
16181
1.28 KIPS |
|
|
Object Detection (Q)
|
85% |
10478
842.9 IPS |
|
|
Face Detection (SP)
|
100% |
31692
376.6 IPS |
|
|
Face Detection (HP)
|
100% |
39519
469.6 IPS |
|
|
Face Detection (Q)
|
97% |
28435
339.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
70080
539.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
116675
901.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
54491
435.6 IPS |
|
|
Style Transfer (SP)
|
100% |
299966
385.6 IPS |
|
|
Style Transfer (HP)
|
100% |
653845
840.5 IPS |
|
|
Style Transfer (Q)
|
98% |
268277
345.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45087
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54916
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33563
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
4356
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2259
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2145
40.2 IPS |