su-ONNX-QuadroT2000 Dell Inc. Precision 5550
Geekbench AI Score
4880
Single Precision Score
4132
Half Precision Score
3750
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | myi2000 |
| Upload Date | September 11 2025 04:22 AM |
| Views | 5 |
System Information
| 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 | Dell Inc. Precision 5550 |
| Motherboard | Dell Inc. 0GX59H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10875H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1956
363.8 IPS |
|
|
Image Classification (HP)
|
100% |
1771
329.4 IPS |
|
|
Image Classification (Q)
|
99% |
1598
298.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3719
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3117
50.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3080
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18233
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12784
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16268
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2552
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (Q)
|
83% |
2196
177.4 IPS |
|
|
Face Detection (SP)
|
100% |
5609
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
4776
56.8 IPS |
|
|
Face Detection (Q)
|
97% |
4896
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12572
96.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9569
73.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9971
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36938
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25747
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31076
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6866
253.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5749
212.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4756
176.1 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.7 IPS |
|
|
Text Classification (HP)
|
100% |
666
888.7 IPS |
|
|
Text Classification (Q)
|
97% |
563
754.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1852
32.0 IPS |
|
|
Machine Translation (Q)
|
70% |
770
14.4 IPS |
