Dell Inc. OptiPlex 3060 **32GB** Ram, i7 CPU/iGPU Dell Inc. OptiPlex 3060
Geekbench AI Score
3574
Single Precision Score
3580
Half Precision Score
5254
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | December 28 2024 05:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 3060 |
| Motherboard | Dell Inc. 04Y8V0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2315
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
2319
431.3 IPS |
|
|
Image Classification (Q)
|
100% |
3324
618.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3773
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4608
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
4518
5.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
8827
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
2189
173.6 IPS |
|
|
Object Detection (HP)
|
100% |
2234
177.2 IPS |
|
|
Object Detection (Q)
|
87% |
3492
280.1 IPS |
|
|
Face Detection (SP)
|
100% |
3879
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (Q)
|
97% |
9018
107.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6057
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6023
46.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
9502
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13314
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13224
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24757
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2783
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5252
194.5 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (Q)
|
91% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3248
56.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3145
54.2 IPS |
