Dell Inc. Vostro 270s
Geekbench AI Score
1076
Single Precision Score
1105
Half Precision Score
800
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | fenom |
| Upload Date | February 06 2026 04:53 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P400 |
| 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% |
210
39.0 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.5 IPS |
|
|
Image Classification (Q)
|
100% |
198
36.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
525
8.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
4760
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3010
3.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
4027
4.72 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (Q)
|
83% |
270
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
572
6.79 IPS |
|
|
Face Detection (HP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
513
6.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
1960
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1834
14.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1595
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8699
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5480
7.04 IPS |
|
|
Style Transfer (Q)
|
98% |
6989
9.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1263
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
529
706.7 IPS |
|
|
Text Classification (HP)
|
100% |
547
730.0 IPS |
|
|
Text Classification (Q)
|
97% |
309
413.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
70% |
428
8.02 IPS |
