Dell Inc. Precision 5510
Geekbench AI Score
1717
Single Precision Score
1678
Half Precision Score
1290
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | KenTang |
| Upload Date | August 02 2025 06:04 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro M1000M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5510 |
| Motherboard | Dell Inc. 0N8J4R |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
645
120.0 IPS |
|
|
Image Classification (Q)
|
99% |
572
106.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
910
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
762
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5190
6.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
5036
5.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
4727
5.54 IPS |
|
|
Object Detection (SP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (HP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (Q)
|
83% |
708
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
1204
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3140
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3044
23.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2541
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8779
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8765
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7887
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2584
95.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2467
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1862
68.9 IPS |
|
|
Text Classification (SP)
|
100% |
587
783.4 IPS |
|
|
Text Classification (HP)
|
100% |
588
785.4 IPS |
|
|
Text Classification (Q)
|
97% |
373
499.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1272
22.0 IPS |
|
|
Machine Translation (Q)
|
70% |
526
9.86 IPS |
