Dell Inc. OptiPlex 745
Geekbench AI Score
4
Single Precision Score
4
Half Precision Score
3
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | Imro74 |
| Upload Date | December 18 2025 12:39 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Pentium D 820/915/920 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Dell Inc. OptiPlex 745 |
| Motherboard | Dell Inc. 0GX297 |
| CPU Information | |
|---|---|
| Name | Intel Pentium D 820/915/920 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 15 Model 6 Stepping 2 |
| Base Frequency | 2.79 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3
0.49 IPS |
|
|
Image Classification (HP)
|
100% |
3
0.49 IPS |
|
|
Image Classification (Q)
|
97% |
2
0.36 IPS |
|
|
Image Segmentation (SP)
|
100% |
4
0.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
4
0.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
3
0.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
4
0.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
4
0.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
3
0.00 IPS |
|
|
Object Detection (SP)
|
100% |
3
0.20 IPS |
|
|
Object Detection (HP)
|
100% |
3
0.20 IPS |
|
|
Object Detection (Q)
|
87% |
2
0.15 IPS |
|
|
Face Detection (SP)
|
100% |
8
0.10 IPS |
|
|
Face Detection (HP)
|
100% |
8
0.10 IPS |
|
|
Face Detection (Q)
|
97% |
6
0.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
6
0.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
6
0.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
4
0.03 IPS |
|
|
Style Transfer (SP)
|
100% |
13
0.02 IPS |
|
|
Style Transfer (HP)
|
100% |
13
0.02 IPS |
|
|
Style Transfer (Q)
|
98% |
9
0.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3
0.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3
0.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2
0.07 IPS |
|
|
Text Classification (SP)
|
100% |
3
4.56 IPS |
|
|
Text Classification (HP)
|
100% |
3
4.57 IPS |
|
|
Text Classification (Q)
|
91% |
2
3.31 IPS |
|
|
Machine Translation (SP)
|
100% |
7
0.11 IPS |
|
|
Machine Translation (HP)
|
100% |
7
0.11 IPS |
|
|
Machine Translation (Q)
|
58% |
3
0.08 IPS |
