Dell Inc. OptiPlex 7050
Geekbench AI Score
1519
Single Precision Score
2202
Half Precision Score
2100
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | DoctorZeeshan |
| Upload Date | November 20 2024 12:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7050 |
| Motherboard | Dell Inc. 0XHGV1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
991
184.3 IPS |
|
|
Image Classification (HP)
|
100% |
1507
280.2 IPS |
|
|
Image Classification (Q)
|
100% |
1368
254.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1838
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2498
2.91 IPS |
|
|
Pose Estimation (HP)
|
99% |
2305
2.70 IPS |
|
|
Pose Estimation (Q)
|
97% |
3403
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
920
73.0 IPS |
|
|
Object Detection (HP)
|
99% |
1484
118.0 IPS |
|
|
Object Detection (Q)
|
88% |
1393
111.7 IPS |
|
|
Face Detection (SP)
|
100% |
2494
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
4270
50.7 IPS |
|
|
Face Detection (Q)
|
97% |
3878
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2974
22.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4942
38.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
4503
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6973
8.96 IPS |
|
|
Style Transfer (HP)
|
100% |
9482
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8373
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2092
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2005
74.2 IPS |
|
|
Text Classification (SP)
|
71% |
598
864.7 IPS |
|
|
Text Classification (HP)
|
71% |
710
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
536
720.4 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
97% |
896
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
892
15.4 IPS |
