Dell Inc. OptiPlex 5400 AIO
Geekbench AI Score
2349
Single Precision Score
717
Half Precision Score
3234
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | September 24 2024 12:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 5400 AIO |
| Motherboard | Dell Inc. 00RG59 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1568
291.6 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.7 IPS |
|
|
Image Classification (Q)
|
99% |
3371
628.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
2036
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3957
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3353
3.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
16006
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.1 IPS |
|
|
Object Detection (Q)
|
88% |
1773
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
265
3.15 IPS |
|
|
Face Detection (Q)
|
97% |
2674
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4101
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
882
6.79 IPS |
|
|
Depth Estimation (Q)
|
76% |
5779
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10348
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8416
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
10501
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1737
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3616
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
571
765.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1922
42.9 IPS |
