HP HP Notebook - 14s-cr2003tx
Geekbench ML Score
758
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 19 2024 01:25 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HP HP Notebook - 14s-cr2003tx |
| Motherboard | HP 8659 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
362
67.7 IPS |
|
|
Image Classification (F16)
|
100% |
359
67.2 IPS |
|
|
Image Classification (I8)
|
100% |
324
60.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
486
8.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
491
8.20 IPS |
|
|
Image Segmentation (I8)
|
98% |
396
6.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
2106
2.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
2124
2.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
1885
2.28 IPS |
|
|
Object Detection (F32)
|
100% |
412
30.8 IPS |
|
|
Object Detection (F16)
|
100% |
414
30.9 IPS |
|
|
Object Detection (I8)
|
54% |
362
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
635
7.56 IPS |
|
|
Face Detection (F16)
|
100% |
638
7.58 IPS |
|
|
Face Detection (I8)
|
89% |
506
6.01 IPS |
|
|
Depth Estimation (F32)
|
100% |
1558
12.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1531
11.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
1335
10.4 IPS |
|
|
Style Transfer (F32)
|
100% |
5337
7.02 IPS |
|
|
Style Transfer (F16)
|
100% |
5406
7.11 IPS |
|
|
Style Transfer (I8)
|
98% |
4374
5.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1115
39.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1075
38.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
787
28.1 IPS |
|
|
Text Classification (F32)
|
100% |
403
578.9 IPS |
|
|
Text Classification (F16)
|
100% |
394
566.1 IPS |
|
|
Text Classification (I8)
|
98% |
250
358.9 IPS |
|
|
Machine Translation (F32)
|
100% |
394
7.25 IPS |
|
|
Machine Translation (F16)
|
100% |
390
7.18 IPS |
|
|
Machine Translation (I8)
|
70% |
255
4.70 IPS |
