Dell Inc. Precision 5570
Geekbench ML Score
2195
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 26 2024 02:34 AM |
| Views | 4 |
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 | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1004
187.9 IPS |
|
|
Image Classification (F16)
|
100% |
1031
192.8 IPS |
|
|
Image Classification (I8)
|
100% |
840
157.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1700
28.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1751
29.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1176
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
11177
13.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
10585
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
5358
6.49 IPS |
|
|
Object Detection (F32)
|
100% |
1151
85.9 IPS |
|
|
Object Detection (F16)
|
100% |
979
73.1 IPS |
|
|
Object Detection (I8)
|
54% |
931
69.5 IPS |
|
|
Face Detection (F32)
|
100% |
2469
29.4 IPS |
|
|
Face Detection (F16)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (I8)
|
89% |
1738
20.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5710
44.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5423
42.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3807
29.5 IPS |
|
|
Style Transfer (F32)
|
100% |
23172
30.5 IPS |
|
|
Style Transfer (F16)
|
100% |
22771
30.0 IPS |
|
|
Style Transfer (I8)
|
98% |
14600
19.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3587
128.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3543
126.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1389
49.6 IPS |
|
|
Text Classification (F32)
|
100% |
631
906.5 IPS |
|
|
Text Classification (F16)
|
100% |
697
1.00 KIPS |
|
|
Text Classification (I8)
|
98% |
337
484.4 IPS |
|
|
Machine Translation (F32)
|
100% |
859
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
844
15.5 IPS |
|
|
Machine Translation (I8)
|
70% |
446
8.20 IPS |
