| User | rolkit |
| Upload Date | November 16 2024 12:30 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10087
1.88 KIPS |
|
|
Image Classification (HP)
|
99% |
15452
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
9018
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18013
292.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23479
380.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16739
272.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
168179
196.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
410580
479.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
151168
177.0 IPS |
|
|
Object Detection (SP)
|
100% |
12503
991.7 IPS |
|
|
Object Detection (HP)
|
100% |
19797
1.57 KIPS |
|
|
Object Detection (Q)
|
89% |
10108
809.1 IPS |
|
|
Face Detection (SP)
|
100% |
32825
390.0 IPS |
|
|
Face Detection (HP)
|
100% |
45051
535.3 IPS |
|
|
Face Detection (Q)
|
97% |
27860
332.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
62417
480.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110577
854.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
47666
384.0 IPS |
|
|
Style Transfer (SP)
|
100% |
295139
379.4 IPS |
|
|
Style Transfer (HP)
|
100% |
688357
884.9 IPS |
|
|
Style Transfer (Q)
|
98% |
258534
333.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46371
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59017
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33434
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3469
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
4241
5.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2077
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4546
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4471
77.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2024
45.1 IPS |