Dell Inc. Vostro 270s
Geekbench AI Score
502
Single Precision Score
504
Half Precision Score
1229
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | fenom |
| Upload Date | February 06 2026 06:50 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1275 V2 @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Vostro 270s |
| Motherboard | Dell Inc. 0478VN |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1275 v2 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
100% |
804
149.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
973
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
762
0.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
1639
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
87% |
803
64.4 IPS |
|
|
Face Detection (SP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1446
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
2295
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1477
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1473
11.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
1992
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12
0.02 IPS |
|
|
Style Transfer (HP)
|
100% |
12
0.02 IPS |
|
|
Style Transfer (Q)
|
98% |
4970
6.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1008
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
680
907.7 IPS |
|
|
Text Classification (HP)
|
100% |
690
920.4 IPS |
|
|
Text Classification (Q)
|
91% |
379
508.8 IPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
100% |
881
15.2 IPS |
