Dell Inc. Dell Pro 16 PC16250
Geekbench ML Score
2010
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 25 2025 09:36 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 16 PC16250 |
| Motherboard | Dell Inc. 1WW3M6 |
| 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% |
1016
190.2 IPS |
|
|
Image Classification (F16)
|
100% |
1035
193.7 IPS |
|
|
Image Classification (I8)
|
99% |
2235
418.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
849
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
895
15.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1985
33.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3182
3.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
3030
3.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
12044
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
978
73.0 IPS |
|
|
Object Detection (F16)
|
100% |
916
68.4 IPS |
|
|
Object Detection (I8)
|
62% |
1050
78.4 IPS |
|
|
Face Detection (F32)
|
100% |
1771
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
1690
20.1 IPS |
|
|
Face Detection (I8)
|
89% |
2426
28.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3014
23.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3006
23.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
8979
69.6 IPS |
|
|
Style Transfer (F32)
|
100% |
7876
10.4 IPS |
|
|
Style Transfer (F16)
|
100% |
6562
8.63 IPS |
|
|
Style Transfer (I8)
|
98% |
10141
13.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1282
45.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1854
66.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3049
108.9 IPS |
|
|
Text Classification (F32)
|
100% |
873
1.25 KIPS |
|
|
Text Classification (F16)
|
100% |
1008
1.45 KIPS |
|
|
Text Classification (I8)
|
98% |
878
1.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
1052
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
884
16.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2018
37.1 IPS |
