Dell Inc. Dell Pro 14 Premium PA14250
Geekbench AI Score
2625
Single Precision Score
2606
Half Precision Score
6656
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 07:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 238V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro 14 Premium PA14250 |
| Motherboard | Dell Inc. 0WV3NX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1606
298.6 IPS |
|
|
Image Classification (HP)
|
100% |
1546
287.6 IPS |
|
|
Image Classification (Q)
|
100% |
4295
798.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4156
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2892
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2745
3.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
10320
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (HP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (Q)
|
88% |
4215
337.9 IPS |
|
|
Face Detection (SP)
|
100% |
4546
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
4557
54.1 IPS |
|
|
Face Detection (Q)
|
100% |
10519
125.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3775
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3813
29.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10940
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7873
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8196
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31246
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1781
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1807
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6443
238.6 IPS |
|
|
Text Classification (SP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1779
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
3336
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2924
50.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2847
49.0 IPS |
