Dell Inc. OptiPlex 5080
Geekbench AI Score
2379
Single Precision Score
1112
Half Precision Score
3488
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | harris_lai |
| Upload Date | September 03 2025 06:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Dell Inc. OptiPlex 5080 |
| Motherboard | Dell Inc. 032W55 |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1976
367.6 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
96% |
3670
685.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
3027
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3901
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2792
3.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
8416
9.95 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
58% |
2043
223.2 IPS |
|
|
Face Detection (SP)
|
100% |
2891
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (Q)
|
96% |
5652
67.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5025
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1587
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8050
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9140
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7117
9.15 IPS |
|
|
Style Transfer (Q)
|
87% |
11358
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1371
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3533
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
753
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
453
606.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1430
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1692
32.7 IPS |
