Dell Inc. Latitude 5520
Geekbench ML Score
2201
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 03:04 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5520 |
| Motherboard | Dell Inc. 0G60M3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1031
192.9 IPS |
|
|
Image Classification (F16)
|
100% |
1029
192.6 IPS |
|
|
Image Classification (I8)
|
100% |
828
154.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1649
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1620
27.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1199
20.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
10522
12.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
10592
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
5516
6.68 IPS |
|
|
Object Detection (F32)
|
100% |
1181
88.1 IPS |
|
|
Object Detection (F16)
|
100% |
1163
86.8 IPS |
|
|
Object Detection (I8)
|
54% |
921
68.8 IPS |
|
|
Face Detection (F32)
|
100% |
2309
27.5 IPS |
|
|
Face Detection (F16)
|
100% |
2318
27.6 IPS |
|
|
Face Detection (I8)
|
89% |
1543
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5394
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5326
41.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3902
30.3 IPS |
|
|
Style Transfer (F32)
|
100% |
23886
31.4 IPS |
|
|
Style Transfer (F16)
|
100% |
23663
31.1 IPS |
|
|
Style Transfer (I8)
|
98% |
14445
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3452
123.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3487
124.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1477
52.7 IPS |
|
|
Text Classification (F32)
|
100% |
672
965.4 IPS |
|
|
Text Classification (F16)
|
100% |
670
962.5 IPS |
|
|
Text Classification (I8)
|
98% |
380
546.5 IPS |
|
|
Machine Translation (F32)
|
100% |
916
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
925
17.0 IPS |
|
|
Machine Translation (I8)
|
70% |
447
8.22 IPS |
