Dell Inc. Dell Pro 13 Premium PA13250
Geekbench ML Score
3394
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 03:16 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 13 Premium PA13250 |
| Motherboard | Dell Inc. 0NGT53 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1726
323.1 IPS |
|
|
Image Classification (F16)
|
100% |
1732
324.1 IPS |
|
|
Image Classification (I8)
|
99% |
3213
601.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1565
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1572
26.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2606
43.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4733
5.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
4800
5.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
17552
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
1736
129.6 IPS |
|
|
Object Detection (F16)
|
100% |
1770
132.1 IPS |
|
|
Object Detection (I8)
|
62% |
1734
129.5 IPS |
|
|
Face Detection (F32)
|
100% |
3796
45.1 IPS |
|
|
Face Detection (F16)
|
100% |
3917
46.6 IPS |
|
|
Face Detection (I8)
|
89% |
4391
52.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5792
44.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6041
46.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
12863
99.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12114
15.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12048
15.8 IPS |
|
|
Style Transfer (I8)
|
98% |
21588
28.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2651
94.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2384
85.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4703
168.0 IPS |
|
|
Text Classification (F32)
|
100% |
1353
1.94 KIPS |
|
|
Text Classification (F16)
|
100% |
1311
1.88 KIPS |
|
|
Text Classification (I8)
|
98% |
1181
1.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
2006
36.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2010
37.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2750
50.6 IPS |
