Dell Inc. OptiPlex 3060 16GB Ram, i7 CPU/iGPU Dell Inc. OptiPlex 3060
Geekbench AI Score
2824
Single Precision Score
2847
Half Precision Score
4040
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | December 27 2024 06:40 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1646
306.1 IPS |
|
|
Image Classification (HP)
|
100% |
1545
287.4 IPS |
|
|
Image Classification (Q)
|
100% |
2305
428.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2606
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3394
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3649
4.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
6828
8.01 IPS |
|
|
Object Detection (SP)
|
100% |
1743
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (Q)
|
87% |
2801
224.6 IPS |
|
|
Face Detection (SP)
|
100% |
3369
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (Q)
|
97% |
6990
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4871
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4780
36.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
7505
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10380
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10465
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19223
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2135
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3906
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2042
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (Q)
|
91% |
1110
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2306
39.7 IPS |
