Dell Inc. OptiPlex 755
Geekbench AI Score
6
Single Precision Score
6
Half Precision Score
4
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | Imro74 |
| Upload Date | December 18 2024 01:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core 2 Duo E4500 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Dell Inc. OptiPlex 755 |
| Motherboard | Dell Inc. 0PU052 |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo E4500 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 15 Stepping 13 |
| Base Frequency | 1.89 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3
0.63 IPS |
|
|
Image Classification (HP)
|
100% |
3
0.63 IPS |
|
|
Image Classification (Q)
|
97% |
3
0.52 IPS |
|
|
Image Segmentation (SP)
|
100% |
5
0.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
5
0.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
4
0.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
5
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
5
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
5
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
3
0.26 IPS |
|
|
Object Detection (HP)
|
100% |
3
0.26 IPS |
|
|
Object Detection (Q)
|
87% |
3
0.22 IPS |
|
|
Face Detection (SP)
|
100% |
11
0.13 IPS |
|
|
Face Detection (HP)
|
100% |
11
0.13 IPS |
|
|
Face Detection (Q)
|
97% |
9
0.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
8
0.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
8
0.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
6
0.05 IPS |
|
|
Style Transfer (SP)
|
100% |
17
0.02 IPS |
|
|
Style Transfer (HP)
|
100% |
17
0.02 IPS |
|
|
Style Transfer (Q)
|
98% |
14
0.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4
0.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4
0.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3
0.11 IPS |
|
|
Text Classification (SP)
|
100% |
5
6.04 IPS |
|
|
Text Classification (HP)
|
100% |
5
6.05 IPS |
|
|
Text Classification (Q)
|
91% |
4
4.94 IPS |
|
|
Machine Translation (SP)
|
100% |
9
0.15 IPS |
|
|
Machine Translation (HP)
|
100% |
9
0.15 IPS |
|
|
Machine Translation (Q)
|
58% |
5
0.12 IPS |
