Dell Inc. Dell Pro 13 Premium PA13250
Geekbench AI Score
2790
Single Precision Score
20897
Half Precision Score
32072
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 07:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 13 Premium PA13250 |
| 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% |
1667
310.1 IPS |
|
|
Image Classification (HP)
|
100% |
12476
2.32 KIPS |
|
|
Image Classification (Q)
|
100% |
18211
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13189
213.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23821
386.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2979
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
74575
87.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
172724
202.3 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
15200
1.21 KIPS |
|
|
Object Detection (Q)
|
87% |
22046
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
4991
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
28526
338.9 IPS |
|
|
Face Detection (Q)
|
100% |
59736
709.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4158
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
63531
489.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
101055
786.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8846
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
175838
226.0 IPS |
|
|
Style Transfer (Q)
|
98% |
253425
326.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23953
884.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
46862
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2836
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2441
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2960
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3933
67.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3984
68.6 IPS |
