Dell Inc. OptiPlex 7090
Geekbench AI Score
2621
Single Precision Score
2868
Half Precision Score
1908
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cwebb15 |
| Upload Date | February 27 2025 11:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 550 |
| 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% |
1109
206.2 IPS |
|
|
Image Classification (HP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (Q)
|
100% |
927
172.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11887
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12409
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
9940
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (Q)
|
88% |
1048
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
3735
44.4 IPS |
|
|
Face Detection (Q)
|
97% |
2230
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6454
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7328
56.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4775
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18178
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19728
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15072
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4059
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4305
159.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2648
98.1 IPS |
|
|
Text Classification (SP)
|
100% |
604
805.6 IPS |
|
|
Text Classification (HP)
|
100% |
617
823.5 IPS |
|
|
Text Classification (Q)
|
97% |
379
507.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
70% |
497
9.33 IPS |
