| User | LessPlum3393 |
| Upload Date | February 13 2026 08:35 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v4 |
| Topology | 2 Processors, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
| Type | RAM |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3730
693.6 IPS |
|
|
Image Classification (HP)
|
100% |
3513
653.3 IPS |
|
|
Image Classification (Q)
|
99% |
3078
574.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6555
106.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5557
90.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5717
93.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
40669
47.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
24424
28.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
35405
41.5 IPS |
|
|
Object Detection (SP)
|
100% |
4493
356.4 IPS |
|
|
Object Detection (HP)
|
100% |
4215
334.3 IPS |
|
|
Object Detection (Q)
|
83% |
3795
306.7 IPS |
|
|
Face Detection (SP)
|
100% |
11036
131.1 IPS |
|
|
Face Detection (HP)
|
100% |
9232
109.7 IPS |
|
|
Face Detection (Q)
|
97% |
9392
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23296
179.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17722
136.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17296
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
71614
92.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49004
63.0 IPS |
|
|
Style Transfer (Q)
|
98% |
61996
79.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13927
514.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10570
390.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9268
343.2 IPS |
|
|
Text Classification (SP)
|
100% |
1455
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
875
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3029
52.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3058
52.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1284
24.1 IPS |