Dell Inc. OptiPlex 5480 AIO
Geekbench AI Score
1570
Single Precision Score
2283
Half Precision Score
2193
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | December 05 2024 10:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 5480 AIO |
| Motherboard | Dell Inc. 05T2V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
949
176.5 IPS |
|
|
Image Classification (HP)
|
100% |
1472
273.7 IPS |
|
|
Image Classification (Q)
|
100% |
1358
252.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2007
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2664
3.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
2446
2.86 IPS |
|
|
Pose Estimation (Q)
|
97% |
3623
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
99% |
1583
125.9 IPS |
|
|
Object Detection (Q)
|
88% |
1489
119.4 IPS |
|
|
Face Detection (SP)
|
100% |
2552
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (Q)
|
97% |
4082
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3061
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5216
40.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
4685
36.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7345
9.44 IPS |
|
|
Style Transfer (HP)
|
100% |
9868
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8797
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2222
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2112
78.2 IPS |
|
|
Text Classification (SP)
|
71% |
625
903.8 IPS |
|
|
Text Classification (HP)
|
71% |
713
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
549
738.1 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
97% |
896
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
901
15.6 IPS |
