Dell Inc. OptiPlex Micro 7010
Geekbench AI Score
1677
Single Precision Score
1358
Half Precision Score
2985
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | pestana58 |
| Upload Date | January 04 2025 06:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13500T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Dell Inc. OptiPlex Micro 7010 |
| Motherboard | Dell Inc. 0KYWH7 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500T |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
1348
250.8 IPS |
|
|
Image Classification (Q)
|
100% |
2724
506.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
688
11.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1281
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2763
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2512
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
7143
8.37 IPS |
|
|
Object Detection (SP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
88% |
1538
123.3 IPS |
|
|
Face Detection (SP)
|
100% |
1725
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2820
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2502
19.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
3855
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5813
7.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3078
3.96 IPS |
|
|
Style Transfer (Q)
|
98% |
10511
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
668
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3637
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
723
964.7 IPS |
|
|
Text Classification (HP)
|
100% |
711
948.5 IPS |
|
|
Text Classification (Q)
|
92% |
2178
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2052
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1315
22.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1312
22.6 IPS |
