HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1090
Single Precision Score
346
Half Precision Score
1354
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 16 2024 05:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| 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% |
766
142.5 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.6 IPS |
|
|
Image Classification (Q)
|
97% |
1143
213.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
517
8.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
114
1.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
991
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1609
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1324
1.54 IPS |
|
|
Pose Estimation (Q)
|
87% |
3328
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.79 IPS |
|
|
Object Detection (Q)
|
86% |
804
64.6 IPS |
|
|
Face Detection (SP)
|
100% |
836
9.94 IPS |
|
|
Face Detection (HP)
|
100% |
139
1.65 IPS |
|
|
Face Detection (Q)
|
96% |
1560
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1925
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
407
3.14 IPS |
|
|
Depth Estimation (Q)
|
76% |
2165
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4206
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3190
4.10 IPS |
|
|
Style Transfer (Q)
|
87% |
5155
6.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
773
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1434
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
433
578.3 IPS |
|
|
Text Classification (Q)
|
97% |
354
473.5 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (Q)
|
60% |
777
17.3 IPS |
