Dell Inc. Dell Pro 16 PC16250
Geekbench ML Score
1787
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 04 2025 08:58 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
925
173.1 IPS |
|
|
Image Classification (F16)
|
100% |
893
167.0 IPS |
|
|
Image Classification (I8)
|
99% |
1979
370.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
521
8.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
500
8.35 IPS |
|
|
Image Segmentation (I8)
|
98% |
1873
31.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2826
3.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
2625
3.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
11883
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
799
59.7 IPS |
|
|
Object Detection (F16)
|
100% |
784
58.5 IPS |
|
|
Object Detection (I8)
|
62% |
984
73.5 IPS |
|
|
Face Detection (F32)
|
100% |
1473
17.5 IPS |
|
|
Face Detection (F16)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (I8)
|
89% |
2129
25.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3261
25.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3162
24.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
6750
52.3 IPS |
|
|
Style Transfer (F32)
|
100% |
7185
9.45 IPS |
|
|
Style Transfer (F16)
|
100% |
6695
8.81 IPS |
|
|
Style Transfer (I8)
|
98% |
10316
13.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1442
51.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1550
55.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3058
109.2 IPS |
|
|
Text Classification (F32)
|
100% |
856
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
908
1.31 KIPS |
|
|
Text Classification (I8)
|
98% |
925
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
818
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
800
14.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1591
29.3 IPS |
