Dell Inc. Vostro 3667
Geekbench AI Score
1168
Single Precision Score
1188
Half Precision Score
1855
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | dkperson |
| Upload Date | February 18 2025 07:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-6100 CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Dell Inc. Vostro 3667 |
| Motherboard | Dell Inc. 0NX0PH |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 11.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
650
121.0 IPS |
|
|
Image Classification (HP)
|
100% |
680
126.4 IPS |
|
|
Image Classification (Q)
|
100% |
1128
209.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1217
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1357
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1367
1.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
2547
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
661
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (Q)
|
87% |
1168
93.7 IPS |
|
|
Face Detection (SP)
|
100% |
1459
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
2763
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1763
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1820
14.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3043
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4137
5.32 IPS |
|
|
Style Transfer (HP)
|
100% |
4072
5.23 IPS |
|
|
Style Transfer (Q)
|
98% |
7230
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
839
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1543
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (Q)
|
91% |
946
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1338
23.1 IPS |
