Dell Inc. OptiPlex 7090
Geekbench AI Score
3047
Single Precision Score
2946
Half Precision Score
8433
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cwebb15 |
| Upload Date | February 27 2025 11:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11500 @ 2.70GHz |
| 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% |
2055
382.1 IPS |
|
|
Image Classification (HP)
|
100% |
1924
357.7 IPS |
|
|
Image Classification (Q)
|
100% |
6350
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6025
97.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4420
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3681
4.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
17505
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (Q)
|
88% |
5646
452.6 IPS |
|
|
Face Detection (SP)
|
100% |
3695
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
14617
173.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4539
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4998
38.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
16092
125.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10768
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9187
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
44181
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2329
86.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9050
335.2 IPS |
|
|
Text Classification (SP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1500
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2961
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1728
29.8 IPS |
