HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1033
Single Precision Score
335
Half Precision Score
1308
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | September 25 2024 01:50 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% |
674
125.3 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.2 IPS |
|
|
Image Classification (Q)
|
97% |
1111
207.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
108
1.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
904
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1534
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1281
1.50 IPS |
|
|
Pose Estimation (Q)
|
87% |
3170
3.74 IPS |
|
|
Object Detection (SP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.74 IPS |
|
|
Object Detection (Q)
|
86% |
760
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
134
1.60 IPS |
|
|
Face Detection (Q)
|
96% |
1518
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1998
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
394
3.03 IPS |
|
|
Depth Estimation (Q)
|
76% |
2174
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3968
5.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3115
4.00 IPS |
|
|
Style Transfer (Q)
|
87% |
4923
6.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
893
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1359
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
412
549.6 IPS |
|
|
Text Classification (Q)
|
97% |
347
464.3 IPS |
|
|
Machine Translation (SP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.35 IPS |
|
|
Machine Translation (Q)
|
60% |
791
17.6 IPS |
