Dell Inc. Dell Pro 13 Premium PA13250
Geekbench AI Score
3217
Single Precision Score
2212
Half Precision Score
8348
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jgorell |
| Upload Date | July 18 2025 04:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 266V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 13 Premium PA13250 |
| Motherboard | Dell Inc. 09TRD7 |
| 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% |
1940
360.8 IPS |
|
|
Image Classification (HP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (Q)
|
100% |
5365
997.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4893
79.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3419
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2266
2.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
13020
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1868
148.2 IPS |
|
|
Object Detection (HP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (Q)
|
88% |
5497
440.6 IPS |
|
|
Face Detection (SP)
|
100% |
5656
67.2 IPS |
|
|
Face Detection (HP)
|
100% |
4326
51.4 IPS |
|
|
Face Detection (Q)
|
100% |
13726
163.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4834
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3282
25.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14483
112.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10112
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6677
8.58 IPS |
|
|
Style Transfer (Q)
|
98% |
37138
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7825
289.8 IPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4410
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2956
50.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3436
59.2 IPS |
