Dell Inc. OptiPlex 3060 32GB, i7, GeForce GT 1030-4Gb Dell Inc. OptiPlex 3060
Geekbench AI Score
1790
Single Precision Score
2563
Half Precision Score
2446
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | December 28 2024 09:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1121
208.5 IPS |
|
|
Image Classification (HP)
|
100% |
1714
318.7 IPS |
|
|
Image Classification (Q)
|
100% |
1570
291.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2171
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2811
3.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
2570
3.01 IPS |
|
|
Pose Estimation (Q)
|
97% |
3845
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
1077
85.4 IPS |
|
|
Object Detection (HP)
|
99% |
1742
138.6 IPS |
|
|
Object Detection (Q)
|
88% |
1626
130.4 IPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5388
64.0 IPS |
|
|
Face Detection (Q)
|
97% |
4754
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3272
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5550
42.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
5063
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7860
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10530
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9513
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2414
89.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2285
84.6 IPS |
|
|
Text Classification (SP)
|
71% |
722
1.04 KIPS |
|
|
Text Classification (HP)
|
71% |
844
1.22 KIPS |
|
|
Text Classification (Q)
|
92% |
653
877.2 IPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
97% |
1069
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1056
18.3 IPS |
