| User | datamushroom |
| Upload Date | August 28 2025 09:02 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro T2000 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Studio G7 Mobile Workstation |
| Motherboard | HP 8736 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10885H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2394
445.1 IPS |
|
|
Image Classification (HP)
|
100% |
2552
474.5 IPS |
|
|
Image Classification (Q)
|
99% |
2209
412.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4448
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3722
60.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3680
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23715
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14877
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
20588
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
3226
255.9 IPS |
|
|
Object Detection (HP)
|
100% |
3052
242.1 IPS |
|
|
Object Detection (Q)
|
83% |
2654
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
6840
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
6066
72.1 IPS |
|
|
Face Detection (Q)
|
97% |
5891
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15056
116.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11076
85.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11443
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43459
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29742
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37065
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8381
309.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6865
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5904
218.6 IPS |
|
|
Text Classification (SP)
|
100% |
1578
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
791
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2271
39.3 IPS |
|
|
Machine Translation (Q)
|
70% |
952
17.9 IPS |