Dell Inc. OptiPlex 7070
Geekbench AI Score
841
Single Precision Score
809
Half Precision Score
696
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 07:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-8500 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Dell Inc. OptiPlex 7070 |
| Motherboard | Dell Inc. 0Y3R3K |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
702
130.5 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.2 IPS |
|
|
Image Classification (Q)
|
99% |
405
75.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
793
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
557
9.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
1083
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1046
1.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
1391
1.63 IPS |
|
|
Object Detection (SP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
85% |
487
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
810
9.62 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
1077
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
879
6.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
871
6.71 IPS |
|
|
Depth Estimation (Q)
|
63% |
902
8.46 IPS |
|
|
Style Transfer (SP)
|
100% |
1220
1.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1221
1.57 IPS |
|
|
Style Transfer (Q)
|
98% |
2619
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
586
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
739
27.4 IPS |
|
|
Text Classification (SP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (Q)
|
92% |
328
440.5 IPS |
|
|
Machine Translation (SP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
58% |
287
6.74 IPS |
