Dell Inc. OptiPlex 7090
Geekbench AI Score
1050
Single Precision Score
1217
Half Precision Score
863
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | sam_86314 |
| Upload Date | January 31 2026 05:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Dell Inc. OptiPlex 7090 |
| Motherboard | Dell Inc. 0YP4HV |
| Power Plan | Winhance Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (Q)
|
100% |
445
82.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
566
9.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
2501
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3975
4.64 IPS |
|
|
Pose Estimation (Q)
|
97% |
2294
2.69 IPS |
|
|
Object Detection (SP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (HP)
|
98% |
535
42.6 IPS |
|
|
Object Detection (Q)
|
86% |
483
38.8 IPS |
|
|
Face Detection (SP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
933
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1877
14.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2312
17.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
1636
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6408
8.24 IPS |
|
|
Style Transfer (HP)
|
100% |
9555
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5603
7.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1011
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
517
689.9 IPS |
|
|
Text Classification (HP)
|
100% |
337
450.2 IPS |
|
|
Text Classification (Q)
|
97% |
313
419.4 IPS |
|
|
Machine Translation (SP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
70% |
304
5.69 IPS |
