Dell Inc. Precision 5570
Geekbench ML Score
6850
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:53 AM |
| Views | 10 |
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% |
3533
661.2 IPS |
|
|
Image Classification (F16)
|
100% |
3443
644.3 IPS |
|
|
Image Classification (I8)
|
100% |
2727
510.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4782
79.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4744
79.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3931
65.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
32619
39.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
34443
41.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
28360
34.3 IPS |
|
|
Object Detection (F32)
|
100% |
2861
213.6 IPS |
|
|
Object Detection (F16)
|
100% |
2945
219.9 IPS |
|
|
Object Detection (I8)
|
61% |
2271
169.5 IPS |
|
|
Face Detection (F32)
|
100% |
8563
101.8 IPS |
|
|
Face Detection (F16)
|
100% |
8740
103.9 IPS |
|
|
Face Detection (I8)
|
89% |
6624
78.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
17715
137.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
20728
160.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
15302
118.7 IPS |
|
|
Style Transfer (F32)
|
100% |
54736
72.0 IPS |
|
|
Style Transfer (F16)
|
100% |
58914
77.5 IPS |
|
|
Style Transfer (I8)
|
98% |
53349
70.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13413
479.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11492
410.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6837
244.2 IPS |
|
|
Text Classification (F32)
|
100% |
1415
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1615
2.32 KIPS |
|
|
Text Classification (I8)
|
98% |
899
1.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
2323
42.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2392
44.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1136
20.9 IPS |
