[2008] SFF PC: Dell OptiPlex 160 [DC01T] Dell Inc. OptiPlex 160
Geekbench AI Score
18
Single Precision Score
18
Half Precision Score
30
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | February 15 2025 08:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Atom 330 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 160 |
| Motherboard | Dell Inc. 0H7TGR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Atom 330 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 28 Stepping 2 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Type | DDR-2 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11
2.02 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.74 IPS |
|
|
Image Classification (Q)
|
99% |
17
3.17 IPS |
|
|
Image Segmentation (SP)
|
100% |
11
0.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
12
0.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
19
0.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
18
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
24
0.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
37
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
9
0.73 IPS |
|
|
Object Detection (HP)
|
100% |
10
0.80 IPS |
|
|
Object Detection (Q)
|
86% |
16
1.32 IPS |
|
|
Face Detection (SP)
|
100% |
34
0.40 IPS |
|
|
Face Detection (HP)
|
100% |
27
0.32 IPS |
|
|
Face Detection (Q)
|
97% |
68
0.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
26
0.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
27
0.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
47
0.38 IPS |
|
|
Style Transfer (SP)
|
100% |
49
0.06 IPS |
|
|
Style Transfer (HP)
|
100% |
70
0.09 IPS |
|
|
Style Transfer (Q)
|
98% |
108
0.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12
0.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15
0.54 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24
0.87 IPS |
|
|
Text Classification (SP)
|
100% |
19
24.7 IPS |
|
|
Text Classification (HP)
|
100% |
13
17.9 IPS |
|
|
Text Classification (Q)
|
97% |
18
24.3 IPS |
|
|
Machine Translation (SP)
|
100% |
22
0.38 IPS |
|
|
Machine Translation (HP)
|
100% |
17
0.29 IPS |
|
|
Machine Translation (Q)
|
65% |
21
0.43 IPS |
