Dell Inc. OptiPlex Micro 7010
Geekbench AI Score
3614
Single Precision Score
3615
Half Precision Score
8577
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | January 03 2025 06:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12500T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Dell Inc. OptiPlex Micro 7010 |
| Motherboard | Dell Inc. 0KYWH7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2348
436.7 IPS |
|
|
Image Classification (HP)
|
100% |
2288
425.4 IPS |
|
|
Image Classification (Q)
|
100% |
5354
995.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2628
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4650
75.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4540
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4584
5.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
17083
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.4 IPS |
|
|
Object Detection (HP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (Q)
|
88% |
5483
439.5 IPS |
|
|
Face Detection (SP)
|
100% |
4151
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
4154
49.4 IPS |
|
|
Face Detection (Q)
|
100% |
12656
150.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5641
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5813
44.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14379
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13389
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13430
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
47371
61.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2805
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2799
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9121
337.8 IPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
3678
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3193
55.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3195
55.0 IPS |
