Dell Inc. Precision 3480
Geekbench ML Score
2566
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 09:14 AM |
| Views | 4 |
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 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 12.00 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% |
1254
234.6 IPS |
|
|
Image Classification (F16)
|
100% |
1268
237.3 IPS |
|
|
Image Classification (I8)
|
100% |
1007
188.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2155
36.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2155
36.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1529
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
13249
16.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
13085
15.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
6461
7.82 IPS |
|
|
Object Detection (F32)
|
100% |
1473
110.0 IPS |
|
|
Object Detection (F16)
|
100% |
1463
109.3 IPS |
|
|
Object Detection (I8)
|
54% |
1228
91.7 IPS |
|
|
Face Detection (F32)
|
100% |
3000
35.7 IPS |
|
|
Face Detection (F16)
|
100% |
2874
34.2 IPS |
|
|
Face Detection (I8)
|
89% |
2012
23.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6208
48.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6303
48.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
4490
34.8 IPS |
|
|
Style Transfer (F32)
|
100% |
27416
36.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27477
36.1 IPS |
|
|
Style Transfer (I8)
|
98% |
17269
22.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3759
134.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3766
134.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1640
58.6 IPS |
|
|
Text Classification (F32)
|
100% |
450
646.7 IPS |
|
|
Text Classification (F16)
|
100% |
518
744.7 IPS |
|
|
Text Classification (I8)
|
98% |
334
480.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1148
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1144
21.0 IPS |
|
|
Machine Translation (I8)
|
70% |
603
11.1 IPS |
