Dell Inc. OptiPlex Micro 7010
Geekbench AI Score
2172
Single Precision Score
554
Half Precision Score
2796
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | September 05 2024 03:40 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex Micro 7010 |
| Motherboard | Dell Inc. 0WG0VR |
| Power Plan | High performance |
| 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 | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1269
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
99% |
2571
479.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1934
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4638
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2611
3.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
15157
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
88% |
1487
119.2 IPS |
|
|
Face Detection (SP)
|
100% |
1519
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
224
2.67 IPS |
|
|
Face Detection (Q)
|
97% |
2465
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4916
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
663
5.11 IPS |
|
|
Depth Estimation (Q)
|
76% |
5405
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10345
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6706
8.62 IPS |
|
|
Style Transfer (Q)
|
98% |
10132
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3236
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
1162
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.9 IPS |
|
|
Text Classification (Q)
|
97% |
399
534.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.31 IPS |
|
|
Machine Translation (Q)
|
60% |
1496
33.4 IPS |
