Dell Inc. Precision 5510
Geekbench AI Score
516
Single Precision Score
326
Half Precision Score
450
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | KenTang |
| Upload Date | August 02 2025 06:01 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| 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% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (Q)
|
100% |
260
48.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
348
5.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
926
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
887
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
86% |
285
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
680
8.09 IPS |
|
|
Face Detection (HP)
|
100% |
428
5.09 IPS |
|
|
Face Detection (Q)
|
97% |
610
7.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
956
7.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
554
4.28 IPS |
|
|
Depth Estimation (Q)
|
77% |
853
6.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1797
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1256
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1703
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
299
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.1 IPS |
|
|
Text Classification (HP)
|
100% |
205
274.1 IPS |
|
|
Text Classification (Q)
|
97% |
176
235.9 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (HP)
|
96% |
266
4.59 IPS |
|
|
Machine Translation (Q)
|
70% |
210
3.94 IPS |
