Dell Inc. OptiPlex 5050
Geekbench AI Score
919
Single Precision Score
1069
Half Precision Score
714
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | April 05 2025 03:32 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Dell Inc. OptiPlex 5050 |
| Motherboard | Dell Inc. 0WWJRX |
| Power Plan | Free i9 performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
365
67.9 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.2 IPS |
|
|
Image Classification (Q)
|
99% |
357
66.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
481
7.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
2249
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3640
4.25 IPS |
|
|
Pose Estimation (Q)
|
97% |
2074
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (HP)
|
98% |
451
35.9 IPS |
|
|
Object Detection (Q)
|
89% |
365
29.2 IPS |
|
|
Face Detection (SP)
|
100% |
769
9.13 IPS |
|
|
Face Detection (HP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
637
7.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1645
12.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2035
15.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
1371
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5892
7.57 IPS |
|
|
Style Transfer (HP)
|
100% |
8813
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
4962
6.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1176
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
890
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
512
683.2 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.4 IPS |
|
|
Text Classification (Q)
|
97% |
298
399.2 IPS |
|
|
Machine Translation (SP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
60% |
231
5.14 IPS |
