HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
854
Single Precision Score
929
Half Precision Score
628
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 16 2024 05:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon 530 Series |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
249
46.4 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
100% |
220
41.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
375
6.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
4176
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4222
4.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
3543
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
87% |
270
21.6 IPS |
|
|
Face Detection (SP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.30 IPS |
|
|
Face Detection (Q)
|
97% |
533
6.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
1539
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1695
13.1 IPS |
|
|
Depth Estimation (Q)
|
71% |
1202
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6688
8.60 IPS |
|
|
Style Transfer (HP)
|
100% |
6754
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
5610
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1629
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1005
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
227
303.5 IPS |
|
|
Text Classification (HP)
|
100% |
282
377.0 IPS |
|
|
Text Classification (Q)
|
97% |
144
192.8 IPS |
|
|
Machine Translation (SP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (HP)
|
96% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
235
5.31 IPS |
