Dell Inc. Dell 27 All-in-One EC27250
Geekbench AI Score
2168
Single Precision Score
832
Half Precision Score
4398
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 03:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 7 150U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell 27 All-in-One EC27250 |
| Motherboard | Dell Inc. 0J11N3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 7 150U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1876
348.9 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (Q)
|
99% |
2479
462.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
3625
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1663
1.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
9149
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1887
149.7 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.4 IPS |
|
|
Object Detection (Q)
|
86% |
3853
309.7 IPS |
|
|
Face Detection (SP)
|
100% |
5125
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
945
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
7058
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4508
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1062
8.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
9890
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7005
9.01 IPS |
|
|
Style Transfer (HP)
|
100% |
4291
5.52 IPS |
|
|
Style Transfer (Q)
|
98% |
13814
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3588
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
550
733.5 IPS |
|
|
Text Classification (Q)
|
97% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
65% |
1756
35.3 IPS |
