| User | hrichl |
| Upload Date | November 15 2024 12:47 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A6000 |
| 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% |
4408
819.7 IPS |
|
|
Image Classification (HP)
|
99% |
5409
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
3142
584.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6077
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6824
110.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5262
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
138149
161.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
228755
266.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
107814
126.3 IPS |
|
|
Object Detection (SP)
|
100% |
5945
471.6 IPS |
|
|
Object Detection (HP)
|
100% |
7417
588.4 IPS |
|
|
Object Detection (Q)
|
89% |
4507
360.8 IPS |
|
|
Face Detection (SP)
|
100% |
13626
161.9 IPS |
|
|
Face Detection (HP)
|
100% |
16183
192.3 IPS |
|
|
Face Detection (Q)
|
97% |
10863
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
41777
321.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
65858
507.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
26665
214.9 IPS |
|
|
Style Transfer (SP)
|
100% |
200249
257.4 IPS |
|
|
Style Transfer (HP)
|
100% |
355185
456.6 IPS |
|
|
Style Transfer (Q)
|
98% |
149435
192.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23211
857.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28647
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15873
587.7 IPS |
|
|
Text Classification (SP)
|
100% |
1824
2.43 KIPS |
|
|
Text Classification (HP)
|
99% |
2115
2.82 KIPS |
|
|
Text Classification (Q)
|
97% |
980
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (Q)
|
60% |
748
16.7 IPS |