| User | hrichl |
| Upload Date | November 12 2024 05:28 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 6000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 17 9700 |
| Motherboard | Dell Inc. 0P1CHN |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10875H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5634
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
6324
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
5277
981.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6097
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6143
99.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5681
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
199994
233.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
343063
400.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
177376
207.7 IPS |
|
|
Object Detection (SP)
|
100% |
7232
573.7 IPS |
|
|
Object Detection (HP)
|
100% |
8014
635.6 IPS |
|
|
Object Detection (Q)
|
89% |
6595
527.7 IPS |
|
|
Face Detection (SP)
|
100% |
16319
193.9 IPS |
|
|
Face Detection (HP)
|
100% |
18027
214.2 IPS |
|
|
Face Detection (Q)
|
97% |
15167
180.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
59221
456.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
83023
639.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
46623
375.8 IPS |
|
|
Style Transfer (SP)
|
100% |
320993
412.6 IPS |
|
|
Style Transfer (HP)
|
100% |
469524
603.6 IPS |
|
|
Style Transfer (Q)
|
98% |
284655
367.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31396
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
34624
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24807
918.6 IPS |
|
|
Text Classification (SP)
|
100% |
1716
2.29 KIPS |
|
|
Text Classification (HP)
|
99% |
1875
2.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1263
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
60% |
861
19.2 IPS |