| User | anthonya1 |
| Upload Date | January 07 2025 04:44 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware Aurora R7 |
| Motherboard | Alienware 0VDT73 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4079
758.5 IPS |
|
|
Image Classification (HP)
|
100% |
6964
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
3573
666.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7053
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8843
143.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5960
96.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
62590
73.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
175314
204.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
53625
62.8 IPS |
|
|
Object Detection (SP)
|
100% |
5939
471.1 IPS |
|
|
Object Detection (HP)
|
100% |
8438
669.3 IPS |
|
|
Object Detection (Q)
|
84% |
4675
377.1 IPS |
|
|
Face Detection (SP)
|
100% |
14198
168.7 IPS |
|
|
Face Detection (HP)
|
100% |
20036
238.1 IPS |
|
|
Face Detection (Q)
|
97% |
11651
138.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
31774
244.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
56972
438.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
22317
178.7 IPS |
|
|
Style Transfer (SP)
|
100% |
102548
131.8 IPS |
|
|
Style Transfer (HP)
|
100% |
226734
291.5 IPS |
|
|
Style Transfer (Q)
|
98% |
87395
112.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20396
753.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28301
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12837
475.3 IPS |
|
|
Text Classification (SP)
|
100% |
1832
2.44 KIPS |
|
|
Text Classification (HP)
|
99% |
2622
3.50 KIPS |
|
|
Text Classification (Q)
|
97% |
939
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2227
38.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1103
20.7 IPS |