Dell Inc. Precision 3480
Geekbench ML Score
2503
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 31 2025 02:34 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Dell Inc. Precision 3480 |
| Motherboard | Dell Inc. 09NG45 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1370P |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.19 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 4.00 MB x 1 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1269
237.5 IPS |
|
|
Image Classification (F16)
|
100% |
1280
239.6 IPS |
|
|
Image Classification (I8)
|
100% |
1001
187.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1909
31.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1888
31.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1419
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
13028
15.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
13116
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
6435
7.79 IPS |
|
|
Object Detection (F32)
|
100% |
1391
103.9 IPS |
|
|
Object Detection (F16)
|
100% |
1308
97.7 IPS |
|
|
Object Detection (I8)
|
54% |
1094
81.7 IPS |
|
|
Face Detection (F32)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (F16)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (I8)
|
89% |
1795
21.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6389
49.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6273
48.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
4504
34.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27903
36.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27497
36.2 IPS |
|
|
Style Transfer (I8)
|
98% |
17380
22.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3977
142.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3905
139.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1706
60.9 IPS |
|
|
Text Classification (F32)
|
100% |
449
645.2 IPS |
|
|
Text Classification (F16)
|
100% |
448
643.4 IPS |
|
|
Text Classification (I8)
|
98% |
483
693.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1008
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1019
18.7 IPS |
|
|
Machine Translation (I8)
|
70% |
589
10.8 IPS |
