Dell Inc. OptiPlex 7090
Geekbench AI Score
2461
Single Precision Score
1124
Half Precision Score
3764
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | sam_86314 |
| Upload Date | January 31 2026 04:52 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700 |
| 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% |
1908
354.7 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.8 IPS |
|
|
Image Classification (Q)
|
96% |
2877
537.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
3791
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3780
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3032
3.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
7224
8.54 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (HP)
|
100% |
549
43.6 IPS |
|
|
Object Detection (Q)
|
58% |
2200
240.4 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
1048
12.5 IPS |
|
|
Face Detection (Q)
|
96% |
5649
67.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4707
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1544
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7210
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8967
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6885
8.85 IPS |
|
|
Style Transfer (Q)
|
87% |
10966
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2975
110.3 IPS |
|
|
Text Classification (SP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
663
885.6 IPS |
|
|
Text Classification (Q)
|
97% |
1166
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2128
41.1 IPS |
