Dell Inc. Vostro 270s
Geekbench AI Score
861
Single Precision Score
492
Half Precision Score
911
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | fenom |
| Upload Date | February 06 2026 04:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1275 v2 |
| 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% |
573
106.5 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
96% |
609
113.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
795
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
1219
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.7 IPS |
|
|
Object Detection (Q)
|
58% |
479
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
624
7.42 IPS |
|
|
Face Detection (Q)
|
96% |
1399
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1568
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
725
5.59 IPS |
|
|
Depth Estimation (Q)
|
78% |
1429
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2925
3.76 IPS |
|
|
Style Transfer (HP)
|
100% |
2295
2.95 IPS |
|
|
Style Transfer (Q)
|
87% |
2354
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
684
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
503
671.2 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.7 IPS |
|
|
Text Classification (Q)
|
97% |
513
687.0 IPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (Q)
|
68% |
852
16.5 IPS |
