Dell Inc. Dell Pro 14 PC14255
Geekbench ML Score
2528
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2025 01:51 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 14 PC14255 |
| Motherboard | Dell Inc. 1RT76D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 220 w/ Radeon 740M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 124 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1240
232.0 IPS |
|
|
Image Classification (F16)
|
100% |
1220
228.4 IPS |
|
|
Image Classification (I8)
|
99% |
3502
655.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1013
16.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
852
14.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2565
42.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
3855
4.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
3973
4.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
14156
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1359
101.4 IPS |
|
|
Object Detection (F16)
|
100% |
1322
98.7 IPS |
|
|
Object Detection (I8)
|
62% |
1521
113.6 IPS |
|
|
Face Detection (F32)
|
100% |
1423
16.9 IPS |
|
|
Face Detection (F16)
|
100% |
1422
16.9 IPS |
|
|
Face Detection (I8)
|
89% |
2872
34.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4247
32.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
4251
33.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
9974
77.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9012
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
8996
11.8 IPS |
|
|
Style Transfer (I8)
|
98% |
11989
15.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2006
71.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2009
71.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2904
103.7 IPS |
|
|
Text Classification (F32)
|
100% |
1519
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1510
2.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1380
1.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1382
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1388
25.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2419
44.5 IPS |
