Dell Inc. OptiPlex 7090
Geekbench AI Score
2023
Single Precision Score
2888
Half Precision Score
4415
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cwebb15 |
| Upload Date | February 27 2025 11:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 750 (iGPU) |
| 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% |
1168
217.2 IPS |
|
|
Image Classification (HP)
|
100% |
1767
328.6 IPS |
|
|
Image Classification (Q)
|
99% |
2659
496.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3035
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3402
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3493
4.08 IPS |
|
|
Pose Estimation (HP)
|
99% |
2556
2.98 IPS |
|
|
Pose Estimation (Q)
|
97% |
10410
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1169
92.7 IPS |
|
|
Object Detection (HP)
|
98% |
1809
143.9 IPS |
|
|
Object Detection (Q)
|
90% |
2988
238.9 IPS |
|
|
Face Detection (SP)
|
100% |
3600
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6146
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
8474
100.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4121
31.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6842
52.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
9152
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8954
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14189
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24370
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2590
95.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5085
188.3 IPS |
|
|
Text Classification (SP)
|
71% |
784
1.13 KIPS |
|
|
Text Classification (HP)
|
71% |
950
1.37 KIPS |
|
|
Text Classification (Q)
|
92% |
985
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1112
19.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1058
18.2 IPS |
