Dell Inc. OptiPlex 7070
Geekbench AI Score
1413
Single Precision Score
482
Half Precision Score
2325
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 07:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
922
171.4 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
94% |
1923
359.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1419
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2776
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2442
2.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
5802
6.86 IPS |
|
|
Object Detection (SP)
|
100% |
862
68.4 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
58% |
1350
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
892
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
211
2.51 IPS |
|
|
Face Detection (Q)
|
96% |
4215
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2718
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
687
5.29 IPS |
|
|
Depth Estimation (Q)
|
78% |
4554
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6459
8.30 IPS |
|
|
Style Transfer (HP)
|
100% |
5249
6.75 IPS |
|
|
Style Transfer (Q)
|
87% |
6401
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1209
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
985
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1651
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
383
511.9 IPS |
|
|
Text Classification (Q)
|
97% |
978
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1090
21.1 IPS |
