Dell Inc. Precision 5570
Geekbench ML Score
7023
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 04 2025 02:49 PM |
| Views | 17 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5570 |
| Motherboard | Dell Inc. 03M8N5 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 8GB Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3453
646.1 IPS |
|
|
Image Classification (F16)
|
100% |
3422
640.4 IPS |
|
|
Image Classification (I8)
|
100% |
2621
490.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
4786
79.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4883
81.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4017
67.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
31688
38.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
35208
42.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
26643
32.3 IPS |
|
|
Object Detection (F32)
|
100% |
3355
250.5 IPS |
|
|
Object Detection (F16)
|
100% |
3480
259.8 IPS |
|
|
Object Detection (I8)
|
61% |
2700
201.6 IPS |
|
|
Face Detection (F32)
|
100% |
8785
104.5 IPS |
|
|
Face Detection (F16)
|
100% |
8743
104.0 IPS |
|
|
Face Detection (I8)
|
89% |
6747
80.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
19354
150.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
19849
153.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
14311
111.0 IPS |
|
|
Style Transfer (F32)
|
100% |
67367
88.6 IPS |
|
|
Style Transfer (F16)
|
100% |
68323
89.9 IPS |
|
|
Style Transfer (I8)
|
98% |
53042
69.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14135
504.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11660
416.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6696
239.1 IPS |
|
|
Text Classification (F32)
|
100% |
1315
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1428
2.05 KIPS |
|
|
Text Classification (I8)
|
98% |
812
1.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
2526
46.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2524
46.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1228
22.6 IPS |
