Dell Inc. OptiPlex 7090
Geekbench AI Score
1745
Single Precision Score
877
Half Precision Score
3864
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cwebb15 |
| Upload Date | February 27 2025 12:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7090 |
| Motherboard | Dell Inc. 008PGD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.1 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (Q)
|
99% |
4222
787.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
2176
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2790
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2275
2.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
12069
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.2 IPS |
|
|
Object Detection (HP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (Q)
|
86% |
4155
334.0 IPS |
|
|
Face Detection (SP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
5958
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3565
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1355
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7481
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5775
7.42 IPS |
|
|
Style Transfer (HP)
|
100% |
4843
6.23 IPS |
|
|
Style Transfer (Q)
|
98% |
10710
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1101
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2303
85.3 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
471
628.8 IPS |
|
|
Text Classification (Q)
|
97% |
1045
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (Q)
|
65% |
1405
28.2 IPS |
