Dell Inc. Dell Pro 14 PC14250
Geekbench ML Score
2328
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 08:02 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 14 PC14250 |
| Motherboard | Dell Inc. 0WW3M6 |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1078
201.8 IPS |
|
|
Image Classification (F16)
|
100% |
1054
197.3 IPS |
|
|
Image Classification (I8)
|
99% |
2329
435.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
895
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
754
12.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2312
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3333
4.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
3302
4.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
13478
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1162
86.8 IPS |
|
|
Object Detection (F16)
|
100% |
1174
87.7 IPS |
|
|
Object Detection (I8)
|
62% |
1355
101.2 IPS |
|
|
Face Detection (F32)
|
100% |
2029
24.1 IPS |
|
|
Face Detection (F16)
|
100% |
1973
23.5 IPS |
|
|
Face Detection (I8)
|
89% |
3126
37.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3886
30.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3484
27.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
9405
72.9 IPS |
|
|
Style Transfer (F32)
|
100% |
8834
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
8940
11.8 IPS |
|
|
Style Transfer (I8)
|
98% |
13664
18.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1861
66.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1878
67.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3497
124.9 IPS |
|
|
Text Classification (F32)
|
100% |
1124
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
1088
1.56 KIPS |
|
|
Text Classification (I8)
|
98% |
1128
1.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
1460
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
992
18.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2159
39.7 IPS |
