Dell Inc. Precision 5570
Geekbench ML Score
6519
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 26 2024 02:29 AM |
| Views | 2 |
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% |
3070
574.5 IPS |
|
|
Image Classification (F16)
|
100% |
3009
563.1 IPS |
|
|
Image Classification (I8)
|
100% |
2479
463.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4178
69.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4272
71.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3469
57.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
35482
43.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
34020
41.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
27104
32.8 IPS |
|
|
Object Detection (F32)
|
100% |
2884
215.3 IPS |
|
|
Object Detection (F16)
|
100% |
2861
213.6 IPS |
|
|
Object Detection (I8)
|
61% |
2461
183.8 IPS |
|
|
Face Detection (F32)
|
100% |
7709
91.7 IPS |
|
|
Face Detection (F16)
|
100% |
8373
99.6 IPS |
|
|
Face Detection (I8)
|
89% |
6179
73.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
19204
148.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
18944
146.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
13378
103.7 IPS |
|
|
Style Transfer (F32)
|
100% |
63402
83.4 IPS |
|
|
Style Transfer (F16)
|
100% |
65162
85.7 IPS |
|
|
Style Transfer (I8)
|
98% |
52855
69.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13752
491.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10998
392.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6629
236.8 IPS |
|
|
Text Classification (F32)
|
100% |
1185
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1308
1.88 KIPS |
|
|
Text Classification (I8)
|
98% |
851
1.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
2113
38.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2170
39.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1105
20.3 IPS |
