Dell Inc. OptiPlex 780
Geekbench AI Score
100
Single Precision Score
77
Half Precision Score
150
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | guinea7pig |
| Upload Date | May 20 2025 11:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium E5300 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Dell Inc. OptiPlex 780 |
| Motherboard | Dell Inc. 0200DY |
| CPU Information | |
|---|---|
| Name | Intel Pentium E5300 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
52
9.69 IPS |
|
|
Image Classification (HP)
|
100% |
27
4.99 IPS |
|
|
Image Classification (Q)
|
97% |
97
18.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
58
0.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
35
0.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
106
1.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
107
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
163
0.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
201
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
53
4.17 IPS |
|
|
Object Detection (HP)
|
100% |
32
2.51 IPS |
|
|
Object Detection (Q)
|
86% |
94
7.58 IPS |
|
|
Face Detection (SP)
|
100% |
136
1.61 IPS |
|
|
Face Detection (HP)
|
100% |
53
0.62 IPS |
|
|
Face Detection (Q)
|
97% |
268
3.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
146
1.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
119
0.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
226
1.80 IPS |
|
|
Style Transfer (SP)
|
100% |
296
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
434
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
425
0.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63
2.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
90
3.31 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
118
4.37 IPS |
|
|
Text Classification (SP)
|
100% |
122
163.3 IPS |
|
|
Text Classification (HP)
|
100% |
81
107.9 IPS |
|
|
Text Classification (Q)
|
97% |
91
122.2 IPS |
|
|
Machine Translation (SP)
|
100% |
130
2.24 IPS |
|
|
Machine Translation (HP)
|
100% |
79
1.36 IPS |
|
|
Machine Translation (Q)
|
65% |
108
2.17 IPS |
