Dell Inc. Latitude 5530
Geekbench ML Score
1430
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 03:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 5530 |
| Motherboard | Dell Inc. 0C6CYC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1265U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 2.00 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% |
1218
227.9 IPS |
|
|
Image Classification (F16)
|
100% |
651
121.8 IPS |
|
|
Image Classification (I8)
|
99% |
1418
265.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
778
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
716
12.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1586
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1770
2.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
2151
2.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
7819
9.47 IPS |
|
|
Object Detection (F32)
|
100% |
586
43.8 IPS |
|
|
Object Detection (F16)
|
100% |
775
57.8 IPS |
|
|
Object Detection (I8)
|
62% |
633
47.2 IPS |
|
|
Face Detection (F32)
|
100% |
1307
15.5 IPS |
|
|
Face Detection (F16)
|
100% |
1346
16.0 IPS |
|
|
Face Detection (I8)
|
89% |
1808
21.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1629
12.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
1753
13.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
5087
39.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4252
5.59 IPS |
|
|
Style Transfer (F16)
|
100% |
3605
4.74 IPS |
|
|
Style Transfer (I8)
|
98% |
8136
10.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
999
35.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1311
46.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2371
84.7 IPS |
|
|
Text Classification (F32)
|
100% |
1134
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1074
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
379
545.1 IPS |
|
|
Machine Translation (F32)
|
100% |
833
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
683
12.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1156
21.3 IPS |
