Dell Inc. OptiPlex 5050
Geekbench AI Score
442
Single Precision Score
267
Half Precision Score
368
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Hakim_Yusa |
| Upload Date | December 19 2025 03:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 5050 |
| Motherboard | Dell Inc. 0782GW |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100T |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.8 IPS |
|
|
Image Classification (Q)
|
100% |
220
41.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
271
4.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
806
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (Q)
|
97% |
754
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
86% |
232
18.7 IPS |
|
|
Face Detection (SP)
|
100% |
551
6.55 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.75 IPS |
|
|
Face Detection (Q)
|
97% |
441
5.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
815
6.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.71 IPS |
|
|
Depth Estimation (Q)
|
77% |
697
5.58 IPS |
|
|
Style Transfer (SP)
|
100% |
1610
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1232
1.58 IPS |
|
|
Style Transfer (Q)
|
98% |
1468
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
265
9.79 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
375
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.7 IPS |
|
|
Text Classification (HP)
|
100% |
117
155.9 IPS |
|
|
Text Classification (Q)
|
97% |
149
199.2 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (HP)
|
96% |
201
3.47 IPS |
|
|
Machine Translation (Q)
|
70% |
176
3.30 IPS |
