Dell Inc. Precision 5570
Geekbench ML Score
6844
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2025 08:48 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5570 |
| Motherboard | Dell Inc. 04NDTC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 8GB Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3524
659.5 IPS |
|
|
Image Classification (F16)
|
100% |
3546
663.5 IPS |
|
|
Image Classification (I8)
|
100% |
2660
497.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4779
79.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4918
82.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3970
66.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
32471
39.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
34895
42.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
27516
33.3 IPS |
|
|
Object Detection (F32)
|
100% |
2892
215.9 IPS |
|
|
Object Detection (F16)
|
100% |
3065
228.9 IPS |
|
|
Object Detection (I8)
|
61% |
2238
167.1 IPS |
|
|
Face Detection (F32)
|
100% |
7774
92.4 IPS |
|
|
Face Detection (F16)
|
100% |
8156
97.0 IPS |
|
|
Face Detection (I8)
|
89% |
6447
76.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
19556
151.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
20813
161.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
14177
109.9 IPS |
|
|
Style Transfer (F32)
|
100% |
58968
77.6 IPS |
|
|
Style Transfer (F16)
|
100% |
66619
87.6 IPS |
|
|
Style Transfer (I8)
|
98% |
54532
71.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14284
510.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11807
421.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6821
243.6 IPS |
|
|
Text Classification (F32)
|
100% |
1424
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
1536
2.21 KIPS |
|
|
Text Classification (I8)
|
98% |
749
1.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
2425
44.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2335
43.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1109
20.4 IPS |
