Dell Inc. OptiPlex 9020
Geekbench AI Score
959
Single Precision Score
965
Half Precision Score
646
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | necrom23 |
| Upload Date | March 08 2025 01:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4790 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Dell Inc. OptiPlex 9020 |
| Motherboard | Dell Inc. 00V62H |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
742
138.0 IPS |
|
|
Image Classification (HP)
|
100% |
744
138.3 IPS |
|
|
Image Classification (Q)
|
99% |
429
80.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
474
7.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
1125
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1165
1.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1089
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (Q)
|
85% |
472
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
1020
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1092
8.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
1081
8.33 IPS |
|
|
Depth Estimation (Q)
|
63% |
876
8.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1486
1.91 IPS |
|
|
Style Transfer (HP)
|
100% |
1486
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
2214
2.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
594
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (Q)
|
92% |
331
445.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (Q)
|
58% |
312
7.34 IPS |
