Dell Inc. OptiPlex 7090 UFF
Geekbench AI Score
2527
Single Precision Score
2564
Half Precision Score
6998
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | November 13 2024 02:10 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Dell Inc. OptiPlex 7090 UFF |
| Motherboard | Dell Inc. 0X6NW1 |
| Power Plan | Free i9 performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1776
330.3 IPS |
|
|
Image Classification (HP)
|
100% |
1812
336.9 IPS |
|
|
Image Classification (Q)
|
100% |
5209
968.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4026
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3121
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2898
3.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
11190
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (Q)
|
88% |
4616
370.1 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3503
41.6 IPS |
|
|
Face Detection (Q)
|
100% |
11562
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4134
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4022
31.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12623
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7165
9.21 IPS |
|
|
Style Transfer (HP)
|
100% |
7992
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30499
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6482
240.1 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1872
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
3860
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2338
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2336
40.2 IPS |
