Dell Inc. OptiPlex 7050
Geekbench AI Score
2094
Single Precision Score
1999
Half Precision Score
3009
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | DoctorZeeshan |
| Upload Date | November 20 2024 12:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7500 CPU @ 3.40GHz |
| 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% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
1297
241.1 IPS |
|
|
Image Classification (Q)
|
100% |
1943
361.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2077
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2650
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2656
3.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
4878
5.72 IPS |
|
|
Object Detection (SP)
|
100% |
1251
99.2 IPS |
|
|
Object Detection (HP)
|
100% |
1226
97.2 IPS |
|
|
Object Detection (Q)
|
87% |
2012
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2631
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
5109
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3386
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3403
26.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
5620
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7777
10.00 IPS |
|
|
Style Transfer (HP)
|
100% |
7760
9.98 IPS |
|
|
Style Transfer (Q)
|
98% |
13869
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1651
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1798
66.6 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (Q)
|
91% |
1135
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1914
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1891
32.6 IPS |
