Dell Inc. OptiPlex 7050
Geekbench AI Score
1467
Single Precision Score
498
Half Precision Score
1843
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 09:27 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6500 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux trixie/sid |
| Model | Dell Inc. OptiPlex 7050 |
| Motherboard | Dell Inc. 0NW6H5 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
853
158.6 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.0 IPS |
|
|
Image Classification (Q)
|
93% |
1300
243.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
1249
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2747
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2140
2.50 IPS |
|
|
Pose Estimation (Q)
|
87% |
4604
5.44 IPS |
|
|
Object Detection (SP)
|
100% |
849
67.4 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
86% |
958
77.0 IPS |
|
|
Face Detection (SP)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
246
2.93 IPS |
|
|
Face Detection (Q)
|
96% |
2304
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2763
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
686
5.28 IPS |
|
|
Depth Estimation (Q)
|
77% |
2470
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6224
8.00 IPS |
|
|
Style Transfer (HP)
|
100% |
5057
6.50 IPS |
|
|
Style Transfer (Q)
|
87% |
7321
9.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1582
58.6 IPS |
|
|
Text Classification (SP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
410
547.0 IPS |
|
|
Text Classification (Q)
|
97% |
894
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1077
24.0 IPS |
