HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1035
Single Precision Score
317
Half Precision Score
1246
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 16 2024 12:54 AM |
| Views | 5 |
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
125.4 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.3 IPS |
|
|
Image Classification (Q)
|
97% |
1083
202.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
922
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1562
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1233
1.44 IPS |
|
|
Pose Estimation (Q)
|
87% |
2899
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
594
47.1 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.55 IPS |
|
|
Object Detection (Q)
|
86% |
715
57.5 IPS |
|
|
Face Detection (SP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
139
1.65 IPS |
|
|
Face Detection (Q)
|
96% |
1537
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1805
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
307
2.37 IPS |
|
|
Depth Estimation (Q)
|
76% |
1745
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4134
5.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3240
4.17 IPS |
|
|
Style Transfer (Q)
|
87% |
4748
6.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1242
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
419
558.8 IPS |
|
|
Text Classification (Q)
|
97% |
350
468.8 IPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
60% |
789
17.6 IPS |
