| User | BrianG61UK |
| Upload Date | June 16 2025 02:26 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610M S2H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M S2H DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11557
2.15 KIPS |
|
|
Image Classification (HP)
|
99% |
17056
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
9856
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21288
345.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
27758
450.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19363
314.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
181732
212.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
452906
528.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
166333
194.9 IPS |
|
|
Object Detection (SP)
|
100% |
14804
1.17 KIPS |
|
|
Object Detection (HP)
|
100% |
20623
1.64 KIPS |
|
|
Object Detection (Q)
|
85% |
12268
986.9 IPS |
|
|
Face Detection (SP)
|
100% |
42244
502.0 IPS |
|
|
Face Detection (HP)
|
100% |
55081
654.5 IPS |
|
|
Face Detection (Q)
|
97% |
36851
439.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
77204
594.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
122991
950.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
58602
468.5 IPS |
|
|
Style Transfer (SP)
|
100% |
333537
428.8 IPS |
|
|
Style Transfer (HP)
|
100% |
758260
974.8 IPS |
|
|
Style Transfer (Q)
|
98% |
294486
379.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45152
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57727
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32616
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4175
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2069
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5599
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5507
94.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2637
49.5 IPS |