Dell Inc. Precision 3480
Geekbench ML Score
2194
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 31 2025 02:30 PM |
| 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 1 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1072
200.6 IPS |
|
|
Image Classification (F16)
|
100% |
965
180.6 IPS |
|
|
Image Classification (I8)
|
99% |
2751
514.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1096
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1013
16.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2201
36.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2617
3.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
2326
2.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
10799
13.1 IPS |
|
|
Object Detection (F32)
|
100% |
1037
77.4 IPS |
|
|
Object Detection (F16)
|
100% |
883
65.9 IPS |
|
|
Object Detection (I8)
|
62% |
1328
99.1 IPS |
|
|
Face Detection (F32)
|
100% |
1983
23.6 IPS |
|
|
Face Detection (F16)
|
100% |
2216
26.4 IPS |
|
|
Face Detection (I8)
|
89% |
3031
36.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3705
28.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3185
24.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
8424
65.3 IPS |
|
|
Style Transfer (F32)
|
100% |
6323
8.32 IPS |
|
|
Style Transfer (F16)
|
100% |
7012
9.22 IPS |
|
|
Style Transfer (I8)
|
98% |
14340
18.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1765
63.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1602
57.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3259
116.4 IPS |
|
|
Text Classification (F32)
|
100% |
1228
1.77 KIPS |
|
|
Text Classification (F16)
|
100% |
1124
1.61 KIPS |
|
|
Text Classification (I8)
|
98% |
1092
1.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
1181
21.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1158
21.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1948
35.9 IPS |
