Dell Inc. Dell Pro 16 PC16250
Geekbench ML Score
2762
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 25 2025 09:38 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 | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1742
326.0 IPS |
|
|
Image Classification (F16)
|
100% |
1750
327.6 IPS |
|
|
Image Classification (I8)
|
100% |
1306
244.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1972
32.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1953
32.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1363
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8026
9.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
8243
9.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
6918
8.38 IPS |
|
|
Object Detection (F32)
|
100% |
1513
113.0 IPS |
|
|
Object Detection (F16)
|
100% |
1639
122.4 IPS |
|
|
Object Detection (I8)
|
54% |
1005
75.1 IPS |
|
|
Face Detection (F32)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (F16)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (I8)
|
89% |
1663
19.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7467
57.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7685
59.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
5120
39.7 IPS |
|
|
Style Transfer (F32)
|
100% |
22168
29.2 IPS |
|
|
Style Transfer (F16)
|
100% |
22321
29.4 IPS |
|
|
Style Transfer (I8)
|
98% |
16034
21.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4424
158.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4236
151.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2795
99.8 IPS |
|
|
Text Classification (F32)
|
100% |
924
1.33 KIPS |
|
|
Text Classification (F16)
|
100% |
890
1.28 KIPS |
|
|
Text Classification (I8)
|
98% |
578
830.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1338
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1265
23.3 IPS |
|
|
Machine Translation (I8)
|
70% |
686
12.6 IPS |
