Dell Inc. Inspiron 5570
Geekbench ML Score
780
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Mariozin |
| Upload Date | February 23 2024 01:16 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Inspiron 5570 |
| Motherboard | Dell Inc. 0NDF00 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
371
69.3 IPS |
|
|
Image Classification (F16)
|
100% |
369
69.0 IPS |
|
|
Image Classification (I8)
|
100% |
334
62.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
539
9.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
533
8.89 IPS |
|
|
Image Segmentation (I8)
|
98% |
461
7.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
2208
2.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
2202
2.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
2019
2.44 IPS |
|
|
Object Detection (F32)
|
100% |
398
29.7 IPS |
|
|
Object Detection (F16)
|
100% |
386
28.8 IPS |
|
|
Object Detection (I8)
|
54% |
355
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
767
9.11 IPS |
|
|
Face Detection (F16)
|
100% |
766
9.11 IPS |
|
|
Face Detection (I8)
|
89% |
635
7.55 IPS |
|
|
Depth Estimation (F32)
|
100% |
1612
12.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1620
12.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
1430
11.1 IPS |
|
|
Style Transfer (F32)
|
100% |
5668
7.46 IPS |
|
|
Style Transfer (F16)
|
100% |
5584
7.35 IPS |
|
|
Style Transfer (I8)
|
98% |
4897
6.44 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1136
40.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1131
40.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
883
31.5 IPS |
|
|
Text Classification (F32)
|
100% |
306
439.1 IPS |
|
|
Text Classification (F16)
|
100% |
297
427.0 IPS |
|
|
Text Classification (I8)
|
98% |
197
282.8 IPS |
|
|
Machine Translation (F32)
|
100% |
404
7.44 IPS |
|
|
Machine Translation (F16)
|
100% |
394
7.25 IPS |
|
|
Machine Translation (I8)
|
70% |
263
4.85 IPS |
