| User | vinku |
| Upload Date | December 29 2025 03:02 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. GE75 Raider 9SG |
| Motherboard | Micro-Star International Co., Ltd. MS-17E2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5707
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8412
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
4040
753.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9870
160.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13687
221.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7884
128.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
69860
81.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
206277
240.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
58863
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
7041
558.5 IPS |
|
|
Object Detection (HP)
|
100% |
10584
839.5 IPS |
|
|
Object Detection (Q)
|
84% |
5469
441.1 IPS |
|
|
Face Detection (SP)
|
100% |
17384
206.6 IPS |
|
|
Face Detection (HP)
|
100% |
26914
319.8 IPS |
|
|
Face Detection (Q)
|
97% |
13599
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
34904
268.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
63604
490.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
24604
197.1 IPS |
|
|
Style Transfer (SP)
|
100% |
127378
163.7 IPS |
|
|
Style Transfer (HP)
|
100% |
293035
376.7 IPS |
|
|
Style Transfer (Q)
|
98% |
102108
131.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22285
822.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32822
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13933
515.9 IPS |
|
|
Text Classification (SP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2334
3.11 KIPS |
|
|
Text Classification (Q)
|
97% |
906
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2964
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2968
51.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1285
24.1 IPS |