Dell Inc. OptiPlex 3090
Geekbench AI Score
1658
Single Precision Score
1657
Half Precision Score
2476
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | pestana58 |
| Upload Date | January 04 2025 05:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10500T CPU @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel Insider Preview (64-bit) |
| Model | Dell Inc. OptiPlex 3090 |
| Motherboard | Dell Inc. 02KGF7 |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
919
171.0 IPS |
|
|
Image Classification (HP)
|
100% |
858
159.6 IPS |
|
|
Image Classification (Q)
|
100% |
1434
266.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1743
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2063
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2033
2.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
4029
4.73 IPS |
|
|
Object Detection (SP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (HP)
|
100% |
965
76.5 IPS |
|
|
Object Detection (Q)
|
87% |
1701
136.4 IPS |
|
|
Face Detection (SP)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2284
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
4181
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2608
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2663
20.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
4369
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6010
7.73 IPS |
|
|
Style Transfer (HP)
|
100% |
5983
7.69 IPS |
|
|
Style Transfer (Q)
|
98% |
11189
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1230
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1222
45.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2322
86.0 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (Q)
|
91% |
660
886.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1618
27.9 IPS |
