| Upload Date | September 11 2024 01:42 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610M K DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M K DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10448
1.94 KIPS |
|
|
Image Classification (HP)
|
99% |
17643
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9454
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16256
263.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19915
322.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15264
248.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
166051
193.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
423274
493.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
149338
174.9 IPS |
|
|
Object Detection (SP)
|
100% |
12649
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
19255
1.53 KIPS |
|
|
Object Detection (Q)
|
89% |
10282
823.2 IPS |
|
|
Face Detection (SP)
|
100% |
32174
382.3 IPS |
|
|
Face Detection (HP)
|
100% |
41653
494.9 IPS |
|
|
Face Detection (Q)
|
97% |
27377
326.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
64380
496.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111222
859.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
46476
374.4 IPS |
|
|
Style Transfer (SP)
|
100% |
320492
412.0 IPS |
|
|
Style Transfer (HP)
|
100% |
701802
902.2 IPS |
|
|
Style Transfer (Q)
|
98% |
273730
353.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44056
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57980
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32878
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4100
5.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5138
6.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2388
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4493
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4446
76.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2072
46.2 IPS |