Dell Inc. OptiPlex 5070
Geekbench AI Score
2257
Single Precision Score
982
Half Precision Score
3271
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tanwenguang |
| Upload Date | November 17 2025 07:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. OptiPlex 5070 |
| Motherboard | Dell Inc. 0XJ5V0 |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1822
338.9 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (Q)
|
96% |
2583
482.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
3277
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3779
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3163
3.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
7063
8.35 IPS |
|
|
Object Detection (SP)
|
100% |
1752
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
58% |
1859
203.1 IPS |
|
|
Face Detection (SP)
|
100% |
2609
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
4865
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4844
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1267
9.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
6114
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9323
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6903
8.87 IPS |
|
|
Style Transfer (Q)
|
87% |
9665
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1453
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2626
97.3 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
622
829.8 IPS |
|
|
Text Classification (Q)
|
97% |
953
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (Q)
|
68% |
1756
33.9 IPS |
