Dell Inc. OptiPlex 7080
Geekbench AI Score
2478
Single Precision Score
1128
Half Precision Score
3650
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ChicagoGuy1984 |
| Upload Date | February 14 2026 03:41 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7080 |
| Motherboard | Dell Inc. 0J37VM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1826
339.6 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
96% |
3302
616.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
1917
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4106
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3338
3.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
8735
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (Q)
|
58% |
2637
288.1 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
5857
69.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5096
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1649
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8478
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11833
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9311
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
12328
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1450
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2328
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
1257
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
650
868.2 IPS |
|
|
Text Classification (Q)
|
97% |
1191
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.95 IPS |
|
|
Machine Translation (Q)
|
68% |
1697
32.8 IPS |
