| User | jordatech |
| Upload Date | April 14 2026 08:08 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5000 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7760 |
| Motherboard | Dell Inc. 0H3D01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11950H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6141
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
9626
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
4751
883.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10346
167.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15040
243.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8395
136.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
83544
97.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
252408
294.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
69145
81.0 IPS |
|
|
Object Detection (SP)
|
100% |
8370
663.9 IPS |
|
|
Object Detection (HP)
|
100% |
13214
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
6317
508.5 IPS |
|
|
Face Detection (SP)
|
100% |
19288
229.2 IPS |
|
|
Face Detection (HP)
|
100% |
26687
317.1 IPS |
|
|
Face Detection (Q)
|
97% |
14951
178.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
41635
320.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
80401
619.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
27136
217.4 IPS |
|
|
Style Transfer (SP)
|
100% |
139616
179.5 IPS |
|
|
Style Transfer (HP)
|
100% |
372044
478.3 IPS |
|
|
Style Transfer (Q)
|
98% |
108061
139.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26391
974.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37397
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16163
598.5 IPS |
|
|
Text Classification (SP)
|
100% |
1984
2.65 KIPS |
|
|
Text Classification (HP)
|
99% |
2508
3.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1138
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2980
51.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1244
23.3 IPS |