Dell Inc. Precision 3480
Geekbench ML Score
2229
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 09:12 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1062
198.7 IPS |
|
|
Image Classification (F16)
|
100% |
1017
190.3 IPS |
|
|
Image Classification (I8)
|
99% |
2635
493.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
948
15.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
987
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2156
36.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2403
2.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
2610
3.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
14776
17.9 IPS |
|
|
Object Detection (F32)
|
100% |
953
71.1 IPS |
|
|
Object Detection (F16)
|
100% |
1062
79.3 IPS |
|
|
Object Detection (I8)
|
62% |
1210
90.4 IPS |
|
|
Face Detection (F32)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (F16)
|
100% |
2191
26.1 IPS |
|
|
Face Detection (I8)
|
89% |
2975
35.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3385
26.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2936
22.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
8784
68.1 IPS |
|
|
Style Transfer (F32)
|
100% |
6019
7.92 IPS |
|
|
Style Transfer (F16)
|
100% |
6710
8.83 IPS |
|
|
Style Transfer (I8)
|
98% |
14838
19.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1477
52.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2219
79.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3472
124.0 IPS |
|
|
Text Classification (F32)
|
100% |
1177
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
1147
1.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1131
1.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1173
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1215
22.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2368
43.6 IPS |
