Dell Inc. OptiPlex 745
Geekbench AI Score
2
Single Precision Score
2
Half Precision Score
1
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | Imro74 |
| Upload Date | December 12 2025 09:24 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Pentium 4 519K/524 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Dell Inc. OptiPlex 745 |
| Motherboard | Dell Inc. 0GX297 |
| CPU Information | |
|---|---|
| Name | Intel Pentium 4 519K/524 |
| Topology | 1 Processor, 1 Core |
| Identifier | GenuineIntel Family 15 Model 4 Stepping 1 |
| Base Frequency | 3.06 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1
0.26 IPS |
|
|
Image Classification (HP)
|
100% |
1
0.26 IPS |
|
|
Image Classification (Q)
|
97% |
1
0.20 IPS |
|
|
Image Segmentation (SP)
|
100% |
2
0.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
2
0.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
1
0.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
2
0.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2
0.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
2
0.00 IPS |
|
|
Object Detection (SP)
|
100% |
1
0.11 IPS |
|
|
Object Detection (HP)
|
100% |
1
0.11 IPS |
|
|
Object Detection (Q)
|
87% |
1
0.08 IPS |
|
|
Face Detection (SP)
|
100% |
4
0.05 IPS |
|
|
Face Detection (HP)
|
100% |
4
0.05 IPS |
|
|
Face Detection (Q)
|
97% |
3
0.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
3
0.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
3
0.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
2
0.02 IPS |
|
|
Style Transfer (SP)
|
100% |
7
0.01 IPS |
|
|
Style Transfer (HP)
|
100% |
7
0.01 IPS |
|
|
Style Transfer (Q)
|
98% |
5
0.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1
0.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1
0.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1
0.04 IPS |
|
|
Text Classification (SP)
|
100% |
2
2.46 IPS |
|
|
Text Classification (HP)
|
100% |
2
2.46 IPS |
|
|
Text Classification (Q)
|
91% |
1
1.86 IPS |
|
|
Machine Translation (SP)
|
100% |
4
0.06 IPS |
|
|
Machine Translation (HP)
|
100% |
4
0.06 IPS |
|
|
Machine Translation (Q)
|
58% |
2
0.05 IPS |
