HP HP Notebook - 14s-cr2003tx
Geekbench ML Score
778
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 29 2024 03:29 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 | AMD Radeon R7 M440 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
251
46.9 IPS |
|
|
Image Classification (F16)
|
100% |
254
47.5 IPS |
|
|
Image Classification (I8)
|
100% |
219
41.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
429
7.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
429
7.17 IPS |
|
|
Image Segmentation (I8)
|
98% |
364
6.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
4027
4.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
4025
4.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
3424
4.15 IPS |
|
|
Object Detection (F32)
|
100% |
279
20.8 IPS |
|
|
Object Detection (F16)
|
100% |
279
20.8 IPS |
|
|
Object Detection (I8)
|
64% |
251
18.8 IPS |
|
|
Face Detection (F32)
|
100% |
647
7.69 IPS |
|
|
Face Detection (F16)
|
100% |
647
7.69 IPS |
|
|
Face Detection (I8)
|
89% |
538
6.40 IPS |
|
|
Depth Estimation (F32)
|
100% |
1523
11.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1522
11.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
1284
9.96 IPS |
|
|
Style Transfer (F32)
|
100% |
6529
8.59 IPS |
|
|
Style Transfer (F16)
|
100% |
6520
8.58 IPS |
|
|
Style Transfer (I8)
|
98% |
5513
7.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1740
62.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1597
57.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1058
37.8 IPS |
|
|
Text Classification (F32)
|
100% |
317
456.0 IPS |
|
|
Text Classification (F16)
|
100% |
249
357.6 IPS |
|
|
Text Classification (I8)
|
98% |
174
249.6 IPS |
|
|
Machine Translation (F32)
|
100% |
528
9.72 IPS |
|
|
Machine Translation (F16)
|
100% |
528
9.72 IPS |
|
|
Machine Translation (I8)
|
69% |
303
5.57 IPS |
