Dell Inc. Dell Pro 14 Premium PA14250
Geekbench AI Score
7251
Single Precision Score
12838
Half Precision Score
5146
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 27 2026 03:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 14 Premium PA14250 |
| Motherboard | Dell Inc. 0Y1TG5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 266V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3513
653.3 IPS |
|
|
Image Classification (HP)
|
100% |
5313
988.0 IPS |
|
|
Image Classification (Q)
|
100% |
3167
588.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6823
110.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12091
196.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4955
80.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12696
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32497
37.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11310
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
4929
390.9 IPS |
|
|
Object Detection (HP)
|
100% |
7899
626.6 IPS |
|
|
Object Detection (Q)
|
88% |
4082
327.4 IPS |
|
|
Face Detection (SP)
|
100% |
9542
113.4 IPS |
|
|
Face Detection (HP)
|
100% |
16868
200.4 IPS |
|
|
Face Detection (Q)
|
97% |
7002
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19869
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42824
329.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13769
110.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56639
72.8 IPS |
|
|
Style Transfer (HP)
|
100% |
176864
227.4 IPS |
|
|
Style Transfer (Q)
|
98% |
41100
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9323
344.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18027
665.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5236
193.9 IPS |
|
|
Text Classification (SP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1283
1.71 KIPS |
|
|
Text Classification (Q)
|
97% |
735
984.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2899
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1181
22.1 IPS |
