Dell Inc. OptiPlex 3060 32GB, i7, GeForce GT 1030-4Gb Dell Inc. OptiPlex 3060
Geekbench AI Score
3595
Single Precision Score
3607
Half Precision Score
5259
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | December 28 2024 10:08 PM |
| Views | 4 |
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% |
2268
421.9 IPS |
|
|
Image Classification (HP)
|
100% |
2311
429.8 IPS |
|
|
Image Classification (Q)
|
100% |
3324
618.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3750
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4656
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4515
5.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
8643
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.7 IPS |
|
|
Object Detection (HP)
|
100% |
2232
177.0 IPS |
|
|
Object Detection (Q)
|
87% |
3401
272.8 IPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (Q)
|
97% |
9220
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6011
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6020
46.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
9618
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13433
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13423
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24767
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2747
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2798
103.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5269
195.2 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (Q)
|
91% |
1167
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3231
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3283
56.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3273
56.4 IPS |
