Dell Inc. OptiPlex 7080
Geekbench AI Score
2715
Single Precision Score
1098
Half Precision Score
3663
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | vchingunde |
| Upload Date | June 21 2025 07:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7080 |
| Motherboard | Dell Inc. 0KHVV7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700T |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1544
287.2 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
96% |
3586
669.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
2014
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5056
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2894
3.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
8342
9.86 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.3 IPS |
|
|
Object Detection (Q)
|
58% |
2429
265.4 IPS |
|
|
Face Detection (SP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
5808
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6703
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1657
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8239
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10501
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8709
11.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12095
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2073
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2385
88.4 IPS |
|
|
Text Classification (SP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
601
802.0 IPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
68% |
2051
39.6 IPS |
