Dell Inc. Precision 5570
Geekbench ML Score
6743
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 27 2025 12:06 PM |
| 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% |
3307
618.8 IPS |
|
|
Image Classification (F16)
|
100% |
3474
650.1 IPS |
|
|
Image Classification (I8)
|
100% |
2769
518.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
4806
80.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4645
77.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3923
65.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
32593
39.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
35311
42.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
26898
32.6 IPS |
|
|
Object Detection (F32)
|
100% |
2964
221.3 IPS |
|
|
Object Detection (F16)
|
100% |
3000
223.9 IPS |
|
|
Object Detection (I8)
|
61% |
2627
196.1 IPS |
|
|
Face Detection (F32)
|
100% |
8374
99.6 IPS |
|
|
Face Detection (F16)
|
100% |
8297
98.7 IPS |
|
|
Face Detection (I8)
|
89% |
6272
74.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16675
129.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
19556
151.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
15385
119.3 IPS |
|
|
Style Transfer (F32)
|
100% |
55011
72.4 IPS |
|
|
Style Transfer (F16)
|
100% |
65331
85.9 IPS |
|
|
Style Transfer (I8)
|
98% |
51287
67.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13213
471.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11617
414.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6764
241.6 IPS |
|
|
Text Classification (F32)
|
100% |
1342
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
1237
1.78 KIPS |
|
|
Text Classification (I8)
|
98% |
838
1.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
2402
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2323
42.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1122
20.6 IPS |
