Dell Inc. Dell Pro 16 PC16250
Geekbench ML Score
2783
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 04 2025 09:06 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro 16 PC16250 |
| Motherboard | Dell Inc. 1WW3M6 |
| Power Plan | Balanced |
| 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 | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1615
302.2 IPS |
|
|
Image Classification (F16)
|
100% |
1659
310.5 IPS |
|
|
Image Classification (I8)
|
100% |
1234
230.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1812
30.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1926
32.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1275
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8670
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
8148
9.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
6835
8.28 IPS |
|
|
Object Detection (F32)
|
100% |
1674
125.0 IPS |
|
|
Object Detection (F16)
|
100% |
1816
135.6 IPS |
|
|
Object Detection (I8)
|
54% |
1292
96.5 IPS |
|
|
Face Detection (F32)
|
100% |
2440
29.0 IPS |
|
|
Face Detection (F16)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (I8)
|
89% |
1621
19.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7349
57.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7483
58.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
5297
41.1 IPS |
|
|
Style Transfer (F32)
|
100% |
22306
29.3 IPS |
|
|
Style Transfer (F16)
|
100% |
24331
32.0 IPS |
|
|
Style Transfer (I8)
|
98% |
16061
21.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4367
155.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4222
150.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2729
97.5 IPS |
|
|
Text Classification (F32)
|
100% |
840
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
843
1.21 KIPS |
|
|
Text Classification (I8)
|
98% |
580
833.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1473
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1485
27.3 IPS |
|
|
Machine Translation (I8)
|
70% |
713
13.1 IPS |
