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 29 2024 03:25 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% |
356
66.6 IPS |
|
|
Image Classification (F16)
|
100% |
357
66.7 IPS |
|
|
Image Classification (I8)
|
100% |
326
61.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
487
8.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
485
8.11 IPS |
|
|
Image Segmentation (I8)
|
98% |
399
6.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
2127
2.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
2136
2.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
1897
2.30 IPS |
|
|
Object Detection (F32)
|
100% |
413
30.9 IPS |
|
|
Object Detection (F16)
|
100% |
402
30.0 IPS |
|
|
Object Detection (I8)
|
54% |
365
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
645
7.67 IPS |
|
|
Face Detection (F16)
|
100% |
642
7.63 IPS |
|
|
Face Detection (I8)
|
89% |
498
5.93 IPS |
|
|
Depth Estimation (F32)
|
100% |
1560
12.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1563
12.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1310
10.2 IPS |
|
|
Style Transfer (F32)
|
100% |
5374
7.07 IPS |
|
|
Style Transfer (F16)
|
100% |
5431
7.14 IPS |
|
|
Style Transfer (I8)
|
98% |
4398
5.79 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1076
38.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1068
38.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
816
29.2 IPS |
|
|
Text Classification (F32)
|
100% |
398
572.0 IPS |
|
|
Text Classification (F16)
|
100% |
402
577.2 IPS |
|
|
Text Classification (I8)
|
98% |
247
354.7 IPS |
|
|
Machine Translation (F32)
|
100% |
389
7.17 IPS |
|
|
Machine Translation (F16)
|
100% |
392
7.22 IPS |
|
|
Machine Translation (I8)
|
70% |
254
4.67 IPS |
